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Brain and Nature-Inspired Learning Computation and Recognition

Brain and Nature-Inspired Learning Computation and Recognition
A Book

by Licheng Jiao,Ronghua Shang,Weitong Zhang,Fang Liu

  • Publisher : Elsevier
  • Release : 2020-01-31
  • Pages : 788
  • ISBN : 9780128197950
  • Language : En, Es, Fr & De
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Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature. Sections cover new developments and main applications, algorithms and simulations. Developments in brain and nature-inspired learning have promoted interest in image processing, clustering problems, change detection, control theory and other disciplines. The book discusses the main problems and applications pertaining to bio-inspired computation and recognition, introducing algorithm implementation, model simulation, and practical application of parameter setting. Readers will find solutions to problems in computation and recognition, particularly neural networks, natural computing, machine learning and compressed sensing. This volume offers a comprehensive and well-structured introduction to brain and nature-inspired learning, computation, and recognition. Presents an invaluable systematic introduction to brain and nature-inspired learning, computation and recognition Describes the biological mechanisms, mathematical analyses and scientific principles behind brain and nature-inspired learning, calculation and recognition Systematically analyzes neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature Discusses the theory and application of algorithms and neural networks, natural computing, machine learning and compression perception

Brain and Nature-Inspired Learning, Computation and Recognition

Brain and Nature-Inspired Learning, Computation and Recognition
A Book

by Licheng Jiao,Ronghua Shang,Fang Liu,Weitong Zhang

  • Publisher : Elsevier
  • Release : 2020-01-18
  • Pages : 788
  • ISBN : 0128204044
  • Language : En, Es, Fr & De
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Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature. Sections cover new developments and main applications, algorithms and simulations. Developments in brain and nature-inspired learning have promoted interest in image processing, clustering problems, change detection, control theory and other disciplines. The book discusses the main problems and applications pertaining to bio-inspired computation and recognition, introducing algorithm implementation, model simulation, and practical application of parameter setting. Readers will find solutions to problems in computation and recognition, particularly neural networks, natural computing, machine learning and compressed sensing. This volume offers a comprehensive and well-structured introduction to brain and nature-inspired learning, computation, and recognition. Presents an invaluable systematic introduction to brain and nature-inspired learning, computation and recognition Describes the biological mechanisms, mathematical analyses and scientific principles behind brain and nature-inspired learning, calculation and recognition Systematically analyzes neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature Discusses the theory and application of algorithms and neural networks, natural computing, machine learning and compression perception

Process Safety and Big Data

Process Safety and Big Data
A Book

by Sagit Valeev,Natalya Kondratyeva

  • Publisher : Elsevier
  • Release : 2021-02-18
  • Pages : 312
  • ISBN : 0128220678
  • Language : En, Es, Fr & De
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Process Safety and Big Data discusses the principles of process safety and advanced information technologies. It explains how these principles are applied to the process industry and provides examples of applications in process safety control and decision support systems. This book helps to address problems that researchers face in industry that are the result of increased process complexity and that have an impact on safety issues. It shows ways to tackle these safety issues by implementing modern information technologies, such as big data analysis and artificial intelligence. It provides an integrated approach to modern information technologies used in control and management of process safety in industry. The book also considers indicators and criteria in effective safety decisions, and addresses the issue of how big data would provide support for improved, autonomous, data-driven decisions. Paves the way for the digital transformation of safety science and safety management Takes a system approach to advanced information technologies used in process safety Applies big data technologies to process safety Includes multiple pertinent case studies

Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications

Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications
Concepts, Methodologies, Tools, and Applications

by Management Association, Information Resources

  • Publisher : IGI Global
  • Release : 2016-07-26
  • Pages : 1780
  • ISBN : 1522507892
  • Language : En, Es, Fr & De
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As technology continues to become more sophisticated, mimicking natural processes and phenomena also becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for man-made computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications takes an interdisciplinary approach to the topic of natural computing, including emerging technologies being developed for the purpose of simulating natural phenomena, applications across industries, and the future outlook of biologically and nature-inspired technologies. Emphasizing critical research in a comprehensive multi-volume set, this publication is designed for use by IT professionals, researchers, and graduate students studying intelligent computing.

Nature-Inspired Computing Design, Development, and Applications

Nature-Inspired Computing Design, Development, and Applications
A Book

by Nunes de Castro, Leandro

  • Publisher : IGI Global
  • Release : 2012-05-31
  • Pages : 435
  • ISBN : 1466615753
  • Language : En, Es, Fr & De
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The observation of nature has been the inspiration for many materials, laws, and theories, as well as computational methods. Nature-Inspired computing Design, Development, and Applications covers all the main areas of natural computing, from methods to computationally synthesized natural phenomena, to computing paradigms based on natural materials. This volume is comprised of ideas and research from nature to develop computational systems or materials to perform computation. Researchers, academic educators, and professionals will find a comprehensive view of all aspects of natural computing with emphasis on its main branches.

Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications

Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications
A Book

by Modestus O. Okwu,Lagouge K. Tartibu

  • Publisher : Springer Nature
  • Release : 2020-11-13
  • Pages : 192
  • ISBN : 3030611116
  • Language : En, Es, Fr & De
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This book exemplifies how algorithms are developed by mimicking nature. Classical techniques for solving day-to-day problems is time-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex problems. This book emphasizes the social behaviour of insects, animals and other natural entities, in terms of converging power and benefits. Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm, whale optimization algorithm, firefly algorithm, bat algorithm, ant lion optimization algorithm, grasshopper optimization algorithm, butterfly optimization algorithm and others. The algorithms have been arranged in chapters to help readers gain better insight into nature-inspired systems and swarm intelligence. All the MATLAB codes have been provided in the appendices of the book to enable readers practice how to solve examples included in all sections. This book is for experts in Engineering and Applied Sciences, Natural and Formal Sciences, Economics, Humanities and Social Sciences.

Nature Inspired Computing for Data Science

Nature Inspired Computing for Data Science
A Book

by Minakhi Rout,Jitendra Kumar Rout,Himansu Das

  • Publisher : Springer Nature
  • Release : 2019-11-26
  • Pages : 295
  • ISBN : 3030338207
  • Language : En, Es, Fr & De
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This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.

Nature-Inspired VLSI Circuits - From Concept to Implementation

Nature-Inspired VLSI Circuits - From Concept to Implementation
A Book

by Hongjiang Song

  • Publisher : Lulu.com
  • Release : 2021
  • Pages : 129
  • ISBN : 1387847163
  • Language : En, Es, Fr & De
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Nature-Inspired Algorithms for Big Data Frameworks

Nature-Inspired Algorithms for Big Data Frameworks
A Book

by Banati, Hema,Mehta, Shikha,Kaur, Parmeet

  • Publisher : IGI Global
  • Release : 2018-09-28
  • Pages : 412
  • ISBN : 1522558535
  • Language : En, Es, Fr & De
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As technology continues to become more sophisticated, mimicking natural processes and phenomena becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Algorithms for Big Data Frameworks is a collection of innovative research on the methods and applications of extracting meaningful information from data using algorithms that are capable of handling the constraints of processing time, memory usage, and the dynamic and unstructured nature of data. Highlighting a range of topics including genetic algorithms, data classification, and wireless sensor networks, this book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the application of nature and biologically inspired algorithms for handling challenges posed by big data in diverse environments.

Nature-Inspired Computing for Control Systems

Nature-Inspired Computing for Control Systems
A Book

by Hiram Eredín Ponce Espinosa

  • Publisher : Springer
  • Release : 2015-12-16
  • Pages : 289
  • ISBN : 3319262300
  • Language : En, Es, Fr & De
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The book presents recent advances in nature-inspired computing, giving a special emphasis to control systems applications. It reviews different techniques used for simulating physical, chemical, biological or social phenomena at the purpose of designing robust, predictive and adaptive control strategies. The book is a collection of several contributions, covering either more general approaches in control systems, or methodologies for control tuning and adaptive controllers, as well as exciting applications of nature-inspired techniques in robotics. On one side, the book is expected to motivate readers with a background in conventional control systems to try out these powerful techniques inspired by nature. On the other side, the book provides advanced readers with a deeper understanding of the field and a broad spectrum of different methods and techniques. All in all, the book is an outstanding, practice-oriented reference guide to nature-inspired computing addressing graduate students, researchers and practitioners in the field of control engineering.

Applied Nature-Inspired Computing: Algorithms and Case Studies

Applied Nature-Inspired Computing: Algorithms and Case Studies
A Book

by Nilanjan Dey,Amira S. Ashour,Siddhartha Bhattacharyya

  • Publisher : Springer
  • Release : 2019-08-10
  • Pages : 275
  • ISBN : 9811392633
  • Language : En, Es, Fr & De
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This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management.

Frontiers in Nature-Inspired Industrial Optimization

Frontiers in Nature-Inspired Industrial Optimization
A Book

by Mahdi Khosravy

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 129
  • ISBN : 981163128X
  • Language : En, Es, Fr & De
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Handbook of Research on Soft Computing and Nature-Inspired Algorithms

Handbook of Research on Soft Computing and Nature-Inspired Algorithms
A Book

by Shandilya, Shishir K.,Shandilya, Smita,Deep, Kusum,Nagar, Atulya K.

  • Publisher : IGI Global
  • Release : 2017-03-10
  • Pages : 627
  • ISBN : 1522521291
  • Language : En, Es, Fr & De
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Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the learning process of machines. The Handbook of Research on Soft Computing and Nature-Inspired Algorithms is an essential source for the latest scholarly research on applications of nature-inspired computing and soft computational systems. Featuring comprehensive coverage on a range of topics and perspectives such as swarm intelligence, speech recognition, and electromagnetic problem solving, this publication is ideally designed for students, researchers, scholars, professionals, and practitioners seeking current research on the advanced workings of intelligence in computing systems.

Advances in Multi-Objective Nature Inspired Computing

Advances in Multi-Objective Nature Inspired Computing
A Book

by Carlos Coello Coello,Clarisse Dhaenens,Laetitia Jourdan

  • Publisher : Springer Science & Business Media
  • Release : 2010-02-04
  • Pages : 195
  • ISBN : 364211217X
  • Language : En, Es, Fr & De
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The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.

Neural Information Processing

Neural Information Processing
18th International Conference, ICONIP 2ß11, Shanghai, China, November 13-17, 2011, Proceedings

by Bao-Liang Lu,Liqing Zhang,James Kwok

  • Publisher : Springer Science & Business Media
  • Release : 2011-10-26
  • Pages : 778
  • ISBN : 3642249574
  • Language : En, Es, Fr & De
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The three volume set LNCS 7062, LNCS 7063, and LNCS 7064 constitutes the proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011, held in Shanghai, China, in November 2011. The 262 regular session papers presented were carefully reviewed and selected from numerous submissions. The papers of part I are organized in topical sections on perception, emotion and development, bioinformatics, biologically inspired vision and recognition, bio-medical data analysis, brain signal processing, brain-computer interfaces, brain-like systems, brain-realistic models for learning, memory and embodied cognition, Clifford algebraic neural networks, combining multiple learners, computational advances in bioinformatics, and computational-intelligent human computer interaction. The second volume is structured in topical sections on cybersecurity and data mining workshop, data mining and knowledge doscovery, evolutionary design and optimisation, graphical models, human-originated data analysis and implementation, information retrieval, integrating multiple nature-inspired approaches, Kernel methods and support vector machines, and learning and memory. The third volume contains all the contributions connected with multi-agent systems, natural language processing and intelligent Web information processing, neural encoding and decoding, neural network models, neuromorphic hardware and implementations, object recognition, visual perception modelling, and advances in computational intelligence methods based pattern recognition.

Brain-inspired Computing

Brain-inspired Computing
4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15-19, 2019, Revised Selected Papers

by Katrin Amunts,Lucio Grandinetti,Thomas Lippert,Nicolai Petkov

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 159
  • ISBN : 3030824276
  • Language : En, Es, Fr & De
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This open access book constitutes revised selected papers from the 4th International Workshop on Brain-Inspired Computing, BrainComp 2019, held in Cetraro, Italy, in July 2019. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for neuroscience as well as artificial and natural neural architectures.

Nature Inspired Problem-Solving Methods in Knowledge Engineering

Nature Inspired Problem-Solving Methods in Knowledge Engineering
Second International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007, La Manga del Mar Menor, Spain, June 18-21, 2007, Proceedings

by José Mira,José R. Álvarez

  • Publisher : Springer
  • Release : 2007-06-23
  • Pages : 650
  • ISBN : 3540730559
  • Language : En, Es, Fr & De
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The second of a two-volume set, this book constitutes the refereed proceedings of the Second International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2007, held in La Manga del Mar Menor, Spain in June 2007. It contains all the contributions connected with biologically inspired methods and techniques for solving AI and knowledge engineering problems in different application domains.

Computational Intelligence in Data Mining

Computational Intelligence in Data Mining
Proceedings of the International Conference on ICCIDM 2018

by Himansu Sekhar Behera,Janmenjoy Nayak,Bighnaraj Naik,Danilo Pelusi

  • Publisher : Springer
  • Release : 2019-08-17
  • Pages : 801
  • ISBN : 9811386765
  • Language : En, Es, Fr & De
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This proceeding discuss the latest solutions, scientific findings and methods for solving intriguing problems in the fields of data mining, computational intelligence, big data analytics, and soft computing. This gathers outstanding papers from the fifth International Conference on “Computational Intelligence in Data Mining” (ICCIDM), and offer a “sneak preview” of the strengths and weaknesses of trending applications, together with exciting advances in computational intelligence, data mining, and related fields.

Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems

Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems
A Book

by Kose, Utku,Guraksin, Gur Emre,Deperlioglu, Omer

  • Publisher : IGI Global
  • Release : 2018-03-31
  • Pages : 381
  • ISBN : 1522547703
  • Language : En, Es, Fr & De
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Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.

Data Science Thinking

Data Science Thinking
The Next Scientific, Technological and Economic Revolution

by Longbing Cao

  • Publisher : Springer
  • Release : 2018-08-17
  • Pages : 390
  • ISBN : 3319950924
  • Language : En, Es, Fr & De
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This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective. The topics cover an extremely wide spectrum of essential and relevant aspects of data science, spanning its evolution, concepts, thinking, challenges, discipline, and foundation, all the way to industrialization, profession, education, and the vast array of opportunities that data science offers. The book's three parts each detail layers of these different aspects. The book is intended for decision-makers, data managers (e.g., analytics portfolio managers, business analytics managers, chief data analytics officers, chief data scientists, and chief data officers), policy makers, management and decision strategists, research leaders, and educators who are responsible for pursuing new scientific, innovation, and industrial transformation agendas, enterprise strategic planning, a next-generation profession-oriented course development, as well as those who are involved in data science, technology, and economy from an advanced perspective. Research students in data science-related courses and disciplines will find the book useful for positing their innovative scientific journey, planning their unique and promising career, and competing within and being ready for the next generation of science, technology, and economy.