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Hybrid Computational Intelligence

Hybrid Computational Intelligence
Challenges and Applications

by Siddhartha Bhattacharyya,Vaclav Snasel,Deepak Gupta,Ashish Khanna

  • Publisher : Academic Press
  • Release : 2020-03-05
  • Pages : 250
  • ISBN : 012818700X
  • Language : En, Es, Fr & De
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Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems. Provides insights into the latest research trends in hybrid intelligent algorithms and architectures Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction Features hybrid intelligent applications in biomedical engineering and healthcare informatics

Tree-Structure based Hybrid Computational Intelligence

Tree-Structure based Hybrid Computational Intelligence
Theoretical Foundations and Applications

by Yuehui Chen,Ajith Abraham

  • Publisher : Springer Science & Business Media
  • Release : 2009-11-27
  • Pages : 206
  • ISBN : 3642047394
  • Language : En, Es, Fr & De
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Research in computational intelligence is directed toward building thinking machines and improving our understanding of intelligence. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. In this book, the authors illustrate an hybrid computational intelligence framework and it applications for various problem solving tasks. Based on tree-structure based encoding and the specific function operators, the models can be flexibly constructed and evolved by using simple computational intelligence techniques. The main idea behind this model is the flexible neural tree, which is very adaptive, accurate and efficient. Based on the pre-defined instruction/operator sets, a flexible neural tree model can be created and evolved. This volume comprises of 6 chapters including an introductory chapter giving the fundamental definitions and the last Chapter provides some important research challenges. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques and data mining will find the comprehensive coverage of this book invaluable.

Computational Intelligence

Computational Intelligence
Engineering of Hybrid Systems

by Mircea Gh. Negoita,Daniel Neagu,Vasile Palade

  • Publisher : Springer Science & Business Media
  • Release : 2005-02-17
  • Pages : 213
  • ISBN : 9783540232193
  • Language : En, Es, Fr & De
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Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms – evolutionary computation, neural networks, fuzzy systems, evolvable hardware, DNA computing, artificial immune systems. A unitary whole of theory and application, the book provides readers with the fundamentals, background information, and practical methods for building a hybrid intelligent system. It treats a panoply of applications, including many in industry, educational systems, forecasting, financial engineering, and bioinformatics. This volume is useful to newcomers in the field because it quickly familiarizes them with engineering elements of developing hybrid intelligent systems and a wide range of real applications, including non-industrial applications. Researchers, developers and technically oriented managers can use the book for developing both new hybrid intelligent systems approaches and new applications requiring the hybridization of the typical tools and concepts to computational intelligence.

Illustrated Computational Intelligence

Illustrated Computational Intelligence
Examples and Applications

by Priti Srinivas Sajja

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 9811595895
  • Language : En, Es, Fr & De
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Hybrid Artificial Intelligence Systems

Hybrid Artificial Intelligence Systems
9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014, Proceedings

by Marios Polycarpou,André C.P.L.F. de Carvalho,Jeng-Shyang Pan,Michał Woźniak,Héctor Quintián,Emilio Corchado

  • Publisher : Springer
  • Release : 2014-05-21
  • Pages : 710
  • ISBN : 3319076175
  • Language : En, Es, Fr & De
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This volume constitutes the proceedings of the 9th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2014, held in Salamanca, Spain, in June 2014. The 61 papers published in this volume were carefully reviewed and selected from 199 submissions. They are organized in topical sessions on HAIS applications; data mining and knowledge discovery; video and image analysis; bio-inspired models and evolutionary computation; learning algorithms; hybrid intelligent systems for data mining and applications and classification and cluster analysis.

Recent Studies on Computational Intelligence

Recent Studies on Computational Intelligence
Doctoral Symposium on Computational Intelligence (DoSCI 2020)

by Ashish Khanna

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 9811584699
  • Language : En, Es, Fr & De
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Artificial Intelligence Systems Based on Hybrid Neural Networks

Artificial Intelligence Systems Based on Hybrid Neural Networks
Theory and Applications

by Michael Zgurovsky,Victor Sineglazov,Elena Chumachenko

  • Publisher : Springer Nature
  • Release : 2020-09-03
  • Pages : 512
  • ISBN : 303048453X
  • Language : En, Es, Fr & De
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This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning. The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms.

Advances in Computational Intelligence

Advances in Computational Intelligence
Proceedings of Second International Conference on Computational Intelligence 2018

by Sudip Kumar Sahana,Vandana Bhattacharjee

  • Publisher : Springer
  • Release : 2019-07-10
  • Pages : 368
  • ISBN : 9811382220
  • Language : En, Es, Fr & De
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This book presents the proceedings of the International Conference on Computational Intelligence 2018 (ICCI 2018). It brings together work by leading scientists, researchers and research scholars from around the globe on all aspects of computational intelligence. The work is mainly composed of the original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of computational intelligence. Specifically, the major topics covered include classical computational intelligence models and artificial intelligence, neural networks and deep learning, evolutionary swarm and particle algorithms, hybrid systems optimization, constraint programming, human–machine interaction, computational intelligence for web analytics, robotics, computational neurosciences, neurodynamics, bioinspired and biomorphic algorithms, cross-disciplinary topics and applications.

Hybrid Intelligent Systems

Hybrid Intelligent Systems
Analysis and Design

by Oscar Castillo,Patricia Melin,Witold Pedrycz

  • Publisher : Springer
  • Release : 2007-07-23
  • Pages : 433
  • ISBN : 3540374213
  • Language : En, Es, Fr & De
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This volume offers a general view of recent conceptual developments of Soft Computing (SC). It presents successful new applications of SC to real-world problems leading to better performance than "traditional" methods. The edited volume covers a wide spectrum of applications including areas such as: robotic dynamic systems, non-linear plants, manufacturing systems, and time series prediction.

Hybrid Artificial Intelligent Systems

Hybrid Artificial Intelligent Systems
7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012, Proceedings

by Emilio S. Corchado Rodriguez,Vaclav Snasel,Ajith Abraham,Michal Wozniak,Manuel Grana,Sung-Bae Cho

  • Publisher : Springer
  • Release : 2012-03-15
  • Pages : 606
  • ISBN : 3642289312
  • Language : En, Es, Fr & De
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The two LNAI volumes 7208 and 7209 constitute the proceedings of the 7th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2012, held in Salamanca, Spain, in March 2012. The 118 papers published in these proceedings were carefully reviewed and selected from 293 submissions. They are organized in topical sessions on agents and multi agents systems, HAIS applications, cluster analysis, data mining and knowledge discovery, evolutionary computation, learning algorithms, systems, man, and cybernetics by HAIS workshop, methods of classifier fusion, HAIS for computer security (HAISFCS), data mining: data preparation and analysis, hybrid artificial intelligence systems in management of production systems, hybrid artificial intelligent systems for ordinal regression, hybrid metaheuristics for combinatorial optimization and modelling complex systems, hybrid computational intelligence and lattice computing for image and signal processing and nonstationary models of pattern recognition and classifier combinations.

Soft Computing for Hybrid Intelligent Systems

Soft Computing for Hybrid Intelligent Systems
A Book

by Oscar Castillo,Patricia Melin,Witold Pedrycz

  • Publisher : Springer Science & Business Media
  • Release : 2008-08-25
  • Pages : 448
  • ISBN : 3540708111
  • Language : En, Es, Fr & De
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We describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary al- rithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of intelligent control, which are basically papers that use hybrid systems to solve particular problems of control. The second part contains papers with the main theme of pattern recognition, which are basically papers using soft computing techniques for achieving pattern recognition in different applications. The third part contains papers with the themes of intelligent agents and social systems, which are papers that apply the ideas of agents and social behavior to solve real-world problems. The fourth part contains papers that deal with the hardware implementation of intelligent systems for solving particular problems. The fifth part contains papers that deal with modeling, simulation and optimization for real-world applications.

Computational Intelligence in Systems and Control Design and Applications

Computational Intelligence in Systems and Control Design and Applications
A Book

by S.G. Tzafestas

  • Publisher : Springer Science & Business Media
  • Release : 2001-11-30
  • Pages : 376
  • ISBN : 9781402003943
  • Language : En, Es, Fr & De
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This book contains thirty timely contributions in the emerging field of Computational Intelligence (CI) with reference to system control design and applications. The three basic constituents ofCI are neural networks (NNs). fuzzy logic (FL) I fuzzy reasoning (FR). and genetic algorithms (GAs). NNs mimic the distributed functioning of the human brain and consist of many. rather simple. building elements (called artificial neurons) which are controlled by adaptive parameters and are able to incorporate via learning the knowledge provided by the environment, and thus respond intelligently to new stimuli. Fuzzy logic (FL) provides the means to build systems that can reason linguistically under uncertainty like the human experts (common sense reasoning). Both NNs and FL I FR are among the most widely used tools for modeling unknown systems with nonlinear behavior. FL suits better when there is some kind of knowledge about the system. such as, for example, the linguistic information of a human expert. On the other hand. NNs possess unique learning and generalization capabilities that allow the user to construct very accurate models of nonlinear systems simply using input-output data. GAs offer an interesting set of generic tools for systematic random search optimization following the mechanisms of natural genetics. In hybrid Computational Intelligence - based systems these three tools (NNs, FL, GAs) are combined in several synergetic ways producing integrated tools with enhanced learning, generalization. universal approximation. reasoning and optimization abilities.

New Frontiers in Computational Intelligence and Its Applications

New Frontiers in Computational Intelligence and Its Applications
A Book

by Masoud Mohammadian

  • Publisher : IOS Press
  • Release : 2000
  • Pages : 375
  • ISBN : 9789051994766
  • Language : En, Es, Fr & De
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Computational Intelligence is a broad and active research area that is growing rapidly due to the many successful applications of these new techniques in very diverse problems. Many industries have benefited from adopting this technology. The increased number of patents and diverse range of products developed using computational intelligence methods is evidence of this fact. The goal of this book is to provide highlights of the current research in computational intelligence area. The book consists of research papers in the fields of neural networks, fuzzy logic, evolutionary computing, hybrid evolutionary computing-fuzzy logic systems, hybrid neural networks-evolutionary computing and fuzzy logic systems, image processing and vision, advances in robotics, control and manufacturing, and rough sets.

Engineering Intelligent Hybrid Multi-Agent Systems

Engineering Intelligent Hybrid Multi-Agent Systems
A Book

by Rajiv Khosla

  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • Pages : 410
  • ISBN : 1461562236
  • Language : En, Es, Fr & De
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Engineering Intelligent Hybrid Multi-Agent Systems is about building intelligent hybrid systems. Included is coverage of applications and design concepts related to fusion systems, transformation systems and combination systems. These applications are in areas involving hybrid configurations of knowledge-based systems, case-based reasoning, fuzzy systems, artificial neural networks, genetic algorithms, and in knowledge discovery and data mining. Through examples and applications a synergy of these subjects is demonstrated. The authors introduce a multi-agent architectural theory for engineering intelligent associative hybrid systems. The architectural theory is described at both the task structure level and the computational level. This problem-solving architecture is relevant for developing knowledge agents and information agents. An enterprise-wide system modeling framework is outlined to facilitate forward and backward integration of systems developed in the knowledge, information, and data engineering layers of an organization. In the modeling process, software engineering aspects like agent oriented analysis, design and reuse are developed and described. Engineering Intelligent Hybrid Multi-Agent Systems is the first book in the field to provide details of a multi-agent architecture for building intelligent hybrid systems.

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.

Applications of Hybrid Metaheuristic Algorithms for Image Processing

Applications of Hybrid Metaheuristic Algorithms for Image Processing
A Book

by Diego Oliva,Salvador Hinojosa

  • Publisher : Springer Nature
  • Release : 2020-03-27
  • Pages : 490
  • ISBN : 3030409775
  • Language : En, Es, Fr & De
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This book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the recognition of objects using complex approaches and medical applications. The book also discusses the theory of the methodologies used to provide an overview of the applications of these tools in image processing. The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence. Further, it is a valuable resource for researchers from the evolutionary computation, artificial intelligence and image processing communities.

Hybrid Intelligence for Social Networks

Hybrid Intelligence for Social Networks
A Book

by Hema Banati,Siddhartha Bhattacharyya,Ashish Mani,Mario Köppen

  • Publisher : Springer
  • Release : 2017-11-28
  • Pages : 327
  • ISBN : 3319651390
  • Language : En, Es, Fr & De
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This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social network metrics using a hybrid approach; Chaps. 3 to 8 focus on the prime research areas in social networks: community detection, influence maximization and opinion mining. Chapter 9 to 13 concentrate on studying the impact and use of social networks in society, primarily in education, commerce, and crowd sourcing. The contributions provide a multidimensional approach, and the book will serve graduate students and researchers as a reference in computer science, electronics engineering, communications, and information technology.

Computational Intelligence in Optimization

Computational Intelligence in Optimization
Applications and Implementations

by Yoel Tenne,Chi-Keong Goh

  • Publisher : Springer Science & Business Media
  • Release : 2010-06-30
  • Pages : 412
  • ISBN : 9783642127755
  • Language : En, Es, Fr & De
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This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.

Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

Recent Advances of Hybrid Intelligent Systems Based on Soft Computing
A Book

by Patricia Melin,Oscar Castillo,Janusz Kacprzyk

  • Publisher : Springer Nature
  • Release : 2020-11-06
  • Pages : 341
  • ISBN : 3030587282
  • Language : En, Es, Fr & De
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This book describes recent advances on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There are also some papers that present theory and practice of meta-heuristics in different areas of application. Another group of papers describes diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.

Advances in Computational Intelligence

Advances in Computational Intelligence
11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings

by Joan Cabestany,Ignacio Rojas,Gonzalo Joya

  • Publisher : Springer Science & Business Media
  • Release : 2011-05-30
  • Pages : 568
  • ISBN : 3642215009
  • Language : En, Es, Fr & De
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This two-volume set LNCS 6691 and 6692 constitutes the refereed proceedings of the 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, held in Torremolinos-Málaga, Spain, in June 2011. The 154 revised papers were carefully reviewed and selected from 202 submissions for presentation in two volumes. The first volume includes 69 papers organized in topical sections on mathematical and theoretical methods in computational intelligence; learning and adaptation; bio-inspired systems and neuro-engineering; hybrid intelligent systems; applications of computational intelligence; new applications of brain-computer interfaces; optimization algorithms in graphic processing units; computing languages with bio-inspired devices and multi-agent systems; computational intelligence in multimedia processing; and biologically plausible spiking neural processing.