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Handbook of Neural Computation

Handbook of Neural Computation
A Book

by Pijush Samui,Sanjiban Sekhar Roy,Valentina E. Balas

  • Publisher : Academic Press
  • Release : 2017-07-28
  • Pages : 600
  • ISBN : 9780128113189
  • Language : En, Es, Fr & De
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Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering to electronics, electrical engineering, and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing, and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations such as data prediction, classification of images, analysis of big data, and intelligent decision making, Handbook of Neural Computation provides readers with the latest, cutting-edge research in one comprehensive text. Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, Bayesian networks, Gaussian process regression, as well as support, relevance, and least square support vector machines Discusses machine learning techniques including classification, clustering, regression, web mining, information retrieval, and natural language processing Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods

Handbook of Neural Computation

Handbook of Neural Computation
Supplement 1

by Emile Fiesler,Russell Beale

  • Publisher : CRC Press
  • Release : 1997-01-01
  • Pages : 80
  • ISBN : 9780750305242
  • Language : En, Es, Fr & De
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In recent years, neural computation has developed from a specialized research discipline into a broadly based and dynamic activity with applications in an astonishing variety of fields. Many scientists, engineers and other practitioners are now using neural networks to tackle problems that are either intractable or unrealistically time consuming to solve through traditional computational strategies. The inaugural volume in the Computational Intelligence Library provides speedy dissemination of new ideas to a broad spectrum of neural network users, designers and implementers. Devoted to network fundamentals, models, algorithms and applications, the work is intended to become the standard reference resource for the neural network community. As the field expands and develops, leading researchers will report on an analyze promising new approaches. In this way, the Handbook will become an evolving compendium on the state of the art of neural computation. Available in loose-leaf print form as well as in an electronic edition that combines both CD-ROM and on-line (World Wide Web) access to its contents, the Handbook of Neural Computation is available on a subscription basis, with regularly published supplements keeping readers abreast of late-breaking developments and new advances in this rapidly developing field.

Handbook of Neural Computation Supplement 1 & Main Work

Handbook of Neural Computation Supplement 1 & Main Work
A Book

by Beale Fiesler

  • Publisher : Unknown Publisher
  • Release : 2021
  • Pages : 129
  • ISBN : 9780750305259
  • Language : En, Es, Fr & De
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Handbook of Neural Computation

Handbook of Neural Computation
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1997
  • Pages : 129
  • ISBN : 9780750304146
  • Language : En, Es, Fr & De
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Handbook of Neural Computation

Handbook of Neural Computation
A Book

by Pijush Samui,Sanjiban Sekhar Roy,Valentina E. Balas

  • Publisher : Academic Press
  • Release : 2017-07-18
  • Pages : 658
  • ISBN : 0128113197
  • Language : En, Es, Fr & De
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Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text. Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods

Springer Handbook of Computational Intelligence

Springer Handbook of Computational Intelligence
A Book

by Janusz Kacprzyk,Witold Pedrycz

  • Publisher : Springer
  • Release : 2015-05-28
  • Pages : 1634
  • ISBN : 3662435055
  • Language : En, Es, Fr & De
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The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.

Handbook of Neural Network Signal Processing

Handbook of Neural Network Signal Processing
A Book

by Yu Hen Hu,Jenq-Neng Hwang

  • Publisher : CRC Press
  • Release : 2018-10-03
  • Pages : 408
  • ISBN : 1351836307
  • Language : En, Es, Fr & De
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The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems, especially in nonlinear, real-time, adaptive, and blind signal processing. The Handbook of Neural Network Signal Processing brings together applications that were previously scattered among various publications to provide an up-to-date, detailed treatment of the subject from an engineering point of view. The authors cover basic principles, modeling, algorithms, architectures, implementation procedures, and well-designed simulation examples of audio, video, speech, communication, geophysical, sonar, radar, medical, and many other signals. The subject of neural networks and their application to signal processing is constantly improving. You need a handy reference that will inform you of current applications in this new area. The Handbook of Neural Network Signal Processing provides this much needed service for all engineers and scientists in the field.

Handbook on Neural Information Processing

Handbook on Neural Information Processing
A Book

by Monica Bianchini,Marco Maggini,Lakhmi C. Jain

  • Publisher : Springer Science & Business Media
  • Release : 2013-04-12
  • Pages : 538
  • ISBN : 3642366570
  • Language : En, Es, Fr & De
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This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: Deep architectures Recurrent, recursive, and graph neural networks Cellular neural networks Bayesian networks Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning Kernel methods for structured data Multiple classifier systems Self organisation and modal learning Applications to content-based image retrieval, text mining in large document collections, and bioinformatics This book is thought particularly for graduate students, researchers and practitioners, willing to deepen their knowledge on more advanced connectionist models and related learning paradigms.

Handbook of Neural Engineering

Handbook of Neural Engineering
A Book

by Metin Akay

  • Publisher : John Wiley & Sons
  • Release : 2007-01-09
  • Pages : 800
  • ISBN : 0470068280
  • Language : En, Es, Fr & De
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An important new work establishing a foundation for future developments in neural engineering The Handbook of Neural Engineering provides theoretical foundations in computational neural science and engineering and current applications in wearable and implantable neural sensors/probes. Inside, leading experts from diverse disciplinary groups representing academia, industry, and private and government organizations present peer-reviewed contributions on the brain-computer interface, nano-neural engineering, neural prostheses, imaging the brain, neural signal processing, the brain, and neurons. The Handbook of Neural Engineering covers: Neural signal and image processing--the analysis and modeling of neural activity and EEG-related activities using the nonlinear and nonstationary analysis methods, including the chaos, fractal, and time-frequency and time-scale analysis methods--and how to measure functional, physiological, and metabolic activities in the human brain using current and emerging medical imaging technologies Neuro-nanotechnology, artificial implants, and neural prosthesis--the design of multi-electrode arrays to study how the neurons of human and animals encode stimuli, the evaluation of functional changes in neural networks after stroke and spinal cord injuries, and improvements in therapeutic applications using neural prostheses Neurorobotics and neural rehabilitation engineering--the recent developments in the areas of biorobotic system, biosonar head, limb kinematics, and robot-assisted activity to improve the treatment of elderly subjects at the hospital and home, as well as the interactions of the neuron chip, neural information processing, perception and neural dynamics, learning memory and behavior, biological neural networks, and neural control

Handbook of Natural Computing

Handbook of Natural Computing
A Book

by Grzegorz Rozenberg,Thomas Bäck,Joost N. Kok

  • Publisher : Springer
  • Release : 2012-10-17
  • Pages : 2052
  • ISBN : 9783540929116
  • Language : En, Es, Fr & De
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Natural Computing is the field of research that investigates both human-designed computing inspired by nature and computing taking place in nature, i.e., it investigates models and computational techniques inspired by nature and also it investigates phenomena taking place in nature in terms of information processing. Examples of the first strand of research covered by the handbook include neural computation inspired by the functioning of the brain; evolutionary computation inspired by Darwinian evolution of species; cellular automata inspired by intercellular communication; swarm intelligence inspired by the behavior of groups of organisms; artificial immune systems inspired by the natural immune system; artificial life systems inspired by the properties of natural life in general; membrane computing inspired by the compartmentalized ways in which cells process information; and amorphous computing inspired by morphogenesis. Other examples of natural-computing paradigms are molecular computing and quantum computing, where the goal is to replace traditional electronic hardware, e.g., by bioware in molecular computing. In molecular computing, data are encoded as biomolecules and then molecular biology tools are used to transform the data, thus performing computations. In quantum computing, one exploits quantum-mechanical phenomena to perform computations and secure communications more efficiently than classical physics and, hence, traditional hardware allows. The second strand of research covered by the handbook, computation taking place in nature, is represented by investigations into, among others, the computational nature of self-assembly, which lies at the core of nanoscience, the computational nature of developmental processes, the computational nature of biochemical reactions, the computational nature of bacterial communication, the computational nature of brain processes, and the systems biology approach to bionetworks where cellular processes are treated in terms of communication and interaction, and, hence, in terms of computation. We are now witnessing exciting interaction between computer science and the natural sciences. While the natural sciences are rapidly absorbing notions, techniques and methodologies intrinsic to information processing, computer science is adapting and extending its traditional notion of computation, and computational techniques, to account for computation taking place in nature around us. Natural Computing is an important catalyst for this two-way interaction, and this handbook is a major record of this important development.

The Handbook of Brain Theory and Neural Networks

The Handbook of Brain Theory and Neural Networks
A Book

by Michael A. Arbib,Fletcher Jones Professor of Computer Science and Professor of Biological Sciences Biomedical Engineering Neuroscience and Psychology Michael A Arbib,Prudence H. Arbib

  • Publisher : MIT Press
  • Release : 2003
  • Pages : 1290
  • ISBN : 0262011972
  • Language : En, Es, Fr & De
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This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).

Handbook On Computational Intelligence (In 2 Volumes)

Handbook On Computational Intelligence (In 2 Volumes)
A Book

by Angelov Plamen Parvanov

  • Publisher : World Scientific
  • Release : 2016-03-18
  • Pages : 964
  • ISBN : 9814675024
  • Language : En, Es, Fr & De
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With the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of 'digital obesity'. In this century, computational intelligence, such as thinking machines, have been brought forth to process complex human problems in a wide scope of areas — from social sciences, economics and biology, medicine and social networks, to cyber security.The Handbook of Computational Intelligence (in two volumes) prompts readers to look at these problems from a non-traditional angle. It takes a step by step approach, supported by case studies, to explore the issues that have arisen in the process. The Handbook covers many classic paradigms, as well as recent achievements and future promising developments to solve some of these very complex problems. Volume one explores the subjects of fuzzy logic and systems, artificial neural networks, and learning systems. Volume two delves into evolutionary computation, hybrid systems, as well as the applications of computational intelligence in decision making, the process industry, robotics, and autonomous systems.This work is a 'one-stop-shop' for beginners, as well as an inspirational source for more advanced researchers. It is a useful resource for lecturers and learners alike.

Handbook of Image Processing and Computer Vision

Handbook of Image Processing and Computer Vision
Volume 1: From Energy to Image

by Arcangelo Distante,Cosimo Distante

  • Publisher : Springer Nature
  • Release : 2020-05-28
  • Pages : 491
  • ISBN : 303038148X
  • Language : En, Es, Fr & De
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Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 1 (From Energy to Image) examines the formation, properties, and enhancement of a digital image. Topics and features: • Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy • Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal • Discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of the image • Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration • Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest • Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration • Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence. Dr. Cosimo Distante is a Research Scientist in Computer Vision and Pattern Recognition in the Institute of Applied Sciences and Intelligent Systems (ISAI) at the Italian National Research Council (CNR). Dr. Arcangelo Distante is a researcher and the former Director of the Institute of Intelligent Systems for Automation (ISSIA) at the CNR. His research interests are in the fields of Computer Vision, Pattern Recognition, Machine Learning, and Neural Computation.

Handbook of Image Processing and Computer Vision

Handbook of Image Processing and Computer Vision
Volume 3: From Pattern to Object

by Arcangelo Distante,Cosimo Distante

  • Publisher : Springer Nature
  • Release : 2020-06-08
  • Pages : 676
  • ISBN : 3030423786
  • Language : En, Es, Fr & De
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Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 3 (From Pattern to Object) examines object recognition, neural networks, motion analysis, and 3D reconstruction of a scene. Topics and features: • Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy • Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal • Discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of the image • Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration • Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest • Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration • Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence. Dr. Cosimo Distante is a Research Scientist in Computer Vision and Pattern Recognition in the Institute of Applied Sciences and Intelligent Systems (ISAI) at the Italian National Research Council (CNR). Dr. Arcangelo Distante is a researcher and the former Director of the Institute of Intelligent Systems for Automation (ISSIA) at the CNR. His research interests are in the fields of Computer Vision, Pattern Recognition, Machine Learning, and Neural Computation.

Handbook of Fuzzy Computation

Handbook of Fuzzy Computation
A Book

by E Ruspini,P Bonissone,W Pedrycz

  • Publisher : CRC Press
  • Release : 2020-03-05
  • Pages : 1500
  • ISBN : 1420050397
  • Language : En, Es, Fr & De
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Initially conceived as a methodology for the representation and manipulation of imprecise and vague information, fuzzy computation has found wide use in problems that fall well beyond its originally intended scope of application. Many scientists and engineers now use the paradigms of fuzzy computation to tackle problems that are either intractable

Handbook of Image Processing and Computer Vision

Handbook of Image Processing and Computer Vision
Volume 1: From Energy to Image

by Arcangelo Distante,Cosimo Distante

  • Publisher : Springer
  • Release : 2021-06-12
  • Pages : 491
  • ISBN : 9783030381509
  • Language : En, Es, Fr & De
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Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 1 (From Energy to Image) examines the formation, properties, and enhancement of a digital image. Topics and features: -Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy -Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal -Discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of the image -Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration -Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest -Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration -Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence. Dr. Cosimo Distante is a Research Scientist in Computer Vision and Pattern Recognition in the Institute of Applied Sciences and Intelligent Systems (ISAI) at the Italian National Research Council (CNR). Dr. Arcangelo Distante is a researcher and the former Director of the Institute of Intelligent Systems for Automation (ISSIA) at the CNR. His research interests are in the fields of Computer Vision, Pattern Recognition, Machine Learning, and Neural Computation.

Handbook of Image Processing and Computer Vision

Handbook of Image Processing and Computer Vision
Volume 3: From Pattern to Object

by Arcangelo Distante,Cosimo Distante

  • Publisher : Springer
  • Release : 2021-06-23
  • Pages : 676
  • ISBN : 9783030423803
  • Language : En, Es, Fr & De
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Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 3 (From Pattern to Object) examines object recognition, neural networks, motion analysis, and 3D reconstruction of a scene. Topics and features: • Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy • Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal • Discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of the image • Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration • Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest • Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration • Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence. Dr. Cosimo Distante is a Research Scientist in Computer Vision and Pattern Recognition in the Institute of Applied Sciences and Intelligent Systems (ISAI) at the Italian National Research Council (CNR). Dr. Arcangelo Distante is a researcher and the former Director of the Institute of Intelligent Systems for Automation (ISSIA) at the CNR. His research interests are in the fields of Computer Vision, Pattern Recognition, Machine Learning, and Neural Computation.

Handbook of Evolutionary Computation

Handbook of Evolutionary Computation
World Wide Web Access to Contents

by Thomas Back,David B. Fogel,Zbigniew Michalewicz

  • Publisher : Inst of Physics Pub Incorporated
  • Release : 1997-04-01
  • Pages : 988
  • ISBN : 9780750303934
  • Language : En, Es, Fr & De
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A joint publication of Institute of Physics Publishing and Oxford University Press, the Handbook of Evolutionary Computation is the second in a series of three works that form part of the Oxford/IOP Computational Intelligence Library project. Also in the series are the Handbook of Neural Computation and the Handbook of Fuzzy Computation. Each of the three handbooks will be available in loose-leaf print form, as well as in an electronic version that combines both CD-ROM and on-line (via World Wide Web) access to the contents. In each case, regularly published supplements will be available on a subscription basis. Supplements to the Handbook of Evolutionary Computation will be published semi-annually after the core volume. The supplements will contain amendments to existing material, new articles to complement existing material, and new case studies describing real world applications of evolutionary computation. New information will be added to the online version as soon as it is available. A major reference publication devoted to evolutionary computation fundamentals, models, algorithms, applications, and case studies, this work will soon become the standard reference resource for the evolutionary computation community.

Handbook of Neural Networks for Speech Processing

Handbook of Neural Networks for Speech Processing
A Book

by Shigeru Katagiri

  • Publisher : Artech House Publishers
  • Release : 2000
  • Pages : 522
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Here are the comprehensive details on cutting edge technologies employing neural networks for speech recognition and speech processing in modern communications. Going far beyond the simple speech recognition technologies on the market today, this new book, written by and for speech and signal processing engineers in industry, R&D, and academia, takes you to the forefront of the hottest emergent neural net-based speech processing techniques.

Computational Intelligence

Computational Intelligence
The Experts Speak

by David B. Fogel,Charles J. Robinson

  • Publisher : John Wiley & Sons
  • Release : 2003-06-16
  • Pages : 304
  • ISBN : 9780471274544
  • Language : En, Es, Fr & De
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The definitive survey of computational intelligence from luminaries in the field Computational intelligence is a fast-moving, multidisciplinary field - the nexus of diverse technical interest areas that include neural networks, fuzzy logic, and evolutionary computation. Keeping up with computational intelligence means understanding how it relates to an ever-expanding range of applications. This is the book that ties it all together - and puts that understanding well within your reach. In Computational Intelligence: The Experts Speak, editors David B. Fogel and Charles J. Robinson present an unmatched compilation of expanded papers from plenary and special lecturers attending the 2002 IEEE World Congress on Computational Intelligence. Collectively, these papers provide a compelling snapshot of the issues that define the industry, as observed by some of the top minds in the computational intelligence community. In a series of topical chapters, this comprehensive volume shows how current technology is shaping computational intelligence, and it delivers eye-opening insights into the field's future challenges. The research detailed here covers an array of leading-edge applications, from coevolutionary robotics to underwater sensors and cognitive science, in such areas as: Self-organizing systems Situation awareness Human-machine interaction Automatic control Data recognition Computational Intelligence also includes introductions to each grouping of contributions that provide helpful tutorials and discuss important parallels between topics. Whatever your role might be in this dynamic, influential field, this is the one reference that no practitioner of computational intelligence should be without.