Fuzzy Logic And Neural Network Handbook

Author : Chi-hau Chen
Publisher : McGraw-Hill Companies
Page : 862 pages
File Size : 53,7 Mb
Release : 1996
Category : Computers
ISBN : UOM:39015037342592

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Fuzzy Logic and Neural Network Handbook by Chi-hau Chen Pdf

A practical reference that presents concise and comprehensive reports on the major activities in fuzzy logic and neural networks, with emphasis on the applications and systems of interest to computer engineers. Each of the 31 chapters focuses on the most important activity of a specific topic, and the chapters are organized into three parts: principles and algorithms; applications; and architectures and systems. The applications for fuzzy logic include home appliance design and manufacturing process; those for neural networks include radar, sonar, and speech signal processing, remote sensing, and electrical power systems. Annotation copyright by Book News, Inc., Portland, OR

Author : Chi-hau Chen
Publisher : Unknown
Page : 19 pages
File Size : 46,8 Mb
Release : 1996
Category : Electronic
ISBN : 0070117756

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Fuzzy Logic and Neural Network Handbook by Chi-hau Chen Pdf

Author : Puyin Liu,Hong-Xing Li
Publisher : World Scientific
Page : 400 pages
File Size : 50,9 Mb
Release : 2004
Category : Computers
ISBN : 9812794212

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Fuzzy Neural Network Theory and Application by Puyin Liu,Hong-Xing Li Pdf

This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks. The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms and universal approximations, and employing simulation examples which are carefully designed to help the reader grasp the underlying theory. This is a valuable reference for scientists and engineers working in mathematics, computer science, control or other fields related to information processing. It can also be used as a textbook for graduate courses in applied mathematics, computer science, automatic control and electrical engineering. Contents: Fuzzy Neural Networks for Storing and Classifying; Fuzzy Associative Memory OCo Feedback Networks; Regular Fuzzy Neural Networks; Polygonal Fuzzy Neural Networks; Approximation Analysis of Fuzzy Systems; Stochastic Fuzzy Systems and Approximations; Application of FNN to Image Restoration. Readership: Scientists, engineers and graduate students in applied mathematics, computer science, automatic control and information processing."

Author : C. H. Chen
Publisher : Unknown
Page : 0 pages
File Size : 48,8 Mb
Release : 1996-12
Category : Electronic
ISBN : 0780334205

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Fuzzy Logic and Neural Network Handbook/the Handbook of Software for by C. H. Chen Pdf

Author : Stamatios V. Kartalopoulos
Publisher : Wiley-IEEE Press
Page : 240 pages
File Size : 52,5 Mb
Release : 1996
Category : Computers
ISBN : UOM:39015037336958

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Understanding Neural Networks and Fuzzy Logic by Stamatios V. Kartalopoulos Pdf

Understand the fundamentals of the emerging field of fuzzy neural networks, their applications and the most used paradigms with this carefully organized state-of-the-art textbook. Previously tested at a number of noteworthy conference tutorials, the simple numerical examples presented in this book provide excellent tools for progressive learning. UNDERSTANDING NEURAL NETWORKS AND FUZZY LOGIC offers a simple presentation and bottom-up approach that is ideal for working professional engineers, undergraduates, medical/biology majors, and anyone with a nonspecialist background. Sponsored by: IEEE Neural Networks Council

Author : Hayagriva V. Rao,BPB Publications
Publisher : Unknown
Page : 551 pages
File Size : 48,7 Mb
Release : 1996
Category : C++ (Computer program language)
ISBN : 8170296943

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C++ Neural Networks and Fuzzy Logic by Hayagriva V. Rao,BPB Publications Pdf

Author : Nikola K. Kasabov
Publisher : Marcel Alencar
Page : 581 pages
File Size : 54,7 Mb
Release : 1996
Category : Artificial intelligence
ISBN : 9780262112123

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Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering by Nikola K. Kasabov Pdf

Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.

Author : Wickens Chesney
Publisher : Unknown
Page : 328 pages
File Size : 42,6 Mb
Release : 2012-09
Category : Soft computing
ISBN : 1781540675

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Fuzzy Logic, Neural Network and Genetic Algorithms Handbook by Wickens Chesney Pdf

The chapters in this handbook encompass areas such as live cellular oscillators, learning in biological neural networks, fractal associative memory, statistical theory of neural networks, parallel hardware architecture, Gabor and wavelet representations, chaotic and fuzzy function approximation. Applications include communications, tracking, flight control, colour correction, and manufacturing.

Author : E Ruspini,P Bonissone,W Pedrycz
Publisher : CRC Press
Page : 1229 pages
File Size : 44,7 Mb
Release : 2020-03-05
Category : Computers
ISBN : 9781420050394

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Handbook of Fuzzy Computation by E Ruspini,P Bonissone,W Pedrycz Pdf

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

Author : Angelov Plamen Parvanov
Publisher : World Scientific
Page : 964 pages
File Size : 52,5 Mb
Release : 2016-03-18
Category : Computers
ISBN : 9789814675024

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Handbook On Computational Intelligence (In 2 Volumes) by Angelov Plamen Parvanov Pdf

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.

Author : Cornelius T. Leondes
Publisher : Elsevier
Page : 416 pages
File Size : 51,5 Mb
Release : 1998-02-09
Category : Computers
ISBN : 9780080553191

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Fuzzy Logic and Expert Systems Applications by Cornelius T. Leondes Pdf

This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively parallel processing capabilities of neural networks, the transformation of neural systems into rule-based expert systems, the characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets, and applications to system identification and control as well as nonparametric, nonlinear estimation. Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will appreciate this reference source to diverse application methodologies. Fuzzy system techniques applied to neural networks for modeling and control Systematic design procedures for realizing fuzzy neural systems Techniques for the design of rule-based expert systems Characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets System identification and control Nonparametric, nonlinear estimation Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will find this volume a unique and comprehensive reference to these diverse application methodologies

Author : Himanshu Singh,Yunis Ahmad Lone
Publisher : Apress
Page : 270 pages
File Size : 51,5 Mb
Release : 2019-11-30
Category : Computers
ISBN : 9781484253618

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Deep Neuro-Fuzzy Systems with Python by Himanshu Singh,Yunis Ahmad Lone Pdf

Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python. You’ll start by walking through the basics of fuzzy sets and relations, and how each member of the set has its own membership function values. You’ll also look at different architectures and models that have been developed, and how rules and reasoning have been defined to make the architectures possible. The book then provides a closer look at neural networks and related architectures, focusing on the various issues neural networks may encounter during training, and how different optimization methods can help you resolve them. In the last section of the book you’ll examine the integrations of fuzzy logics and neural networks, the adaptive neuro fuzzy Inference systems, and various approximations related to the same. You’ll review different types of deep neuro fuzzy classifiers, fuzzy neurons, and the adaptive learning capability of the neural networks. The book concludes by reviewing advanced neuro fuzzy models and applications. What You’ll Learn Understand fuzzy logic, membership functions, fuzzy relations, and fuzzy inferenceReview neural networks, back propagation, and optimizationWork with different architectures such as Takagi-Sugeno model, Hybrid model, genetic algorithms, and approximations Apply Python implementations of deep neuro fuzzy system Who This book Is For Data scientists and software engineers with a basic understanding of Machine Learning who want to expand into the hybrid applications of deep learning and fuzzy logic.

Author : Chennakesava R. Alavala
Publisher : Unknown
Page : 0 pages
File Size : 51,9 Mb
Release : 2024-06-14
Category : Fuzzy logic
ISBN : OCLC:1289424637

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Fuzzy Logic and Neural Networks by Chennakesava R. Alavala Pdf

Author : Eyal Kolman,Michael Margaliot
Publisher : Springer
Page : 100 pages
File Size : 41,9 Mb
Release : 2008-10-18
Category : Computers
ISBN : 9783540880776

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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach by Eyal Kolman,Michael Margaliot Pdf

In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-permutations Rule-Base (FARB). They show that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that of an artificial neural network. Conversely, every standard artificial neural network has an equivalent FARB. The FARB-ANN equivalence integrates the merits of symbolic fuzzy rule-bases and sub-symbolic artificial neural networks, and yields a new approach for knowledge-based neurocomputing in artificial neural networks.

Author : Plamen Parvanov Angelov
Publisher : Unknown
Page : 897 pages
File Size : 52,8 Mb
Release : 2016
Category : Computational intelligence
ISBN : 9814675016

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Handbook on Computational Intelligence by Plamen Parvanov Angelov Pdf