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Studies in Computational Intelligence #103: Soft Computing: Techniques and Its Applications in Electrical Engineering

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Studies in Computational Intelligence #103: Soft Computing: Techniques and Its Applications in Electrical Engineering Cover

 

Synopses & Reviews

Publisher Comments:

Taking inspiration from the brain structure (neurons), linguistic rather than precise way of description by humans (not so cold, very warm), genetics and the behaviour of birds and ants in the nature, new techniques for the solution of various problems have been developed over the past three decades or so. All these techniques are broadly classified as artificial intelligence or computational intelligence. Artificial intelligence encompasses methods like artificial neural networks and fuzzy logic. Computational intelligence includes optimization methods such as genetic algorithm, evolutionary algorithm, arts colony, particle swarm optimization, etc. and their variations. Feasibility of the application of these techniques in various control and optimization problems has been investigated extensively and these techniques have been applied to physical systems in a number of cases. With the computational power now available, importance of this relatively new branch of knowledge, that is heavily dependent on soft computing, will grow significantly in the future. The appearance of a book like this one helps spread awareness about the new techniques based on soft computing and is thus a welcome addition. In this book a cross-section of these techniques is introduced and their applications illustrated by examples from physical systems based on the author's own research. It will provide a good introduction to a reader interested in this subject. Om P. Malik, Professor Emeritus, University of Calgary

Synopsis:

This book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ANN and EA. The approach in this book is to provide an understanding of the soft computing field and to work through soft computing using examples. It also aims to integrate pseudo-code operational summaries and Matlab codes, to present computer simulation, to include real world applications and to highlight the distinctive work of human consciousness in machine.

Synopsis:

Intuitive consciousness/ wisdom is also one of the frontline areas in soft computing, which has to be always cultivated by meditation. This book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ANN and EA and it is hoped that it would be quite useful to study the fundamental concepts on these topics for the pursuit of allied research.

The approach in this book is to provides an understanding of the soft computing field, to work through soft computing using examples, to integrate pseudo - code operational summaries and Matlab codes, to present computer simulation, to include real world applications and to highlight the distinctive work of human consciousness in machine.

I believe the chapters would help in understanding not only the basic issues and characteristic features of soft computing, but also the aforesaid problems of CTP and in formulating possible solutions. Dr. Chaturvedi deserves congratulations for bringing out the nice piece of work. Sankar K. Pal, Director Indian Statistical Institute

Table of Contents

From the content Foreword.- Preface.- Acknowledgements.- Chapter - 1 Introduction to Soft Computing.- Chapter 2 Life History of Brain.- Chapter - 3 Artificial neural network and supervised learning.- Chapter - 4 Factors affecting the Performance ofArtificial Neural Network Models.- Chapter - 5 Development of Generalized Neuron and its Validation.- Chapter - 6 Applications of Generalized Neuron Models.- Chapter - 7 Introduction to Fuzzy Set Theoretic Approach.- Chapter - 8 Applications of Fuzzy Rule Based System.- Chapter - 9 Genetic Algorithms.- Chapter - 10 Applications Genetic Algorithms to Load Forecasting Problem.- Chapter 11 Synergism of Genetic Algorithms and Fuzzy Systems for Power System Applications.- Chapter - 12 Integration of Neural Networks and Fuzzy Systems.- Chapter 13 ANN - GA-Fuzzy Synergism and its Applications.- Bibliography.- Glossary.- I. Artificial Neural Network.- Fuzzy Systems.

Product Details

ISBN:
9783540774808
Author:
Chaturvedi, Devendra K
Publisher:
Springer
Author:
Chaturvedi, Devendra K.
Subject:
Applied
Subject:
Artificial Intelligence - General
Subject:
Intelligence (AI) & Semantics
Subject:
Electrical engineering
Subject:
Soft computing
Subject:
Appl.Mathematics/Computational Methods of Engineering
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Electrical Engineering <P>Research monograph on soft computing techniques and its applications in electrical engineering</P>
Subject:
Mathematics-Applied
Copyright:
Edition Description:
Book
Series:
Studies in Computational Intelligence
Series Volume:
103
Publication Date:
20080926
Binding:
HARDCOVER
Language:
English
Pages:
634
Dimensions:
235 x 155 mm 2340 gr

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Reference » Science Reference » Technology
Science and Mathematics » Electricity » General Electricity
Science and Mathematics » Mathematics » Applied

Studies in Computational Intelligence #103: Soft Computing: Techniques and Its Applications in Electrical Engineering Used Hardcover
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$31.50 In Stock
Product details 634 pages Springer - English 9783540774808 Reviews:
"Synopsis" by , This book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ANN and EA. The approach in this book is to provide an understanding of the soft computing field and to work through soft computing using examples. It also aims to integrate pseudo-code operational summaries and Matlab codes, to present computer simulation, to include real world applications and to highlight the distinctive work of human consciousness in machine.
"Synopsis" by , Intuitive consciousness/ wisdom is also one of the frontline areas in soft computing, which has to be always cultivated by meditation. This book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ANN and EA and it is hoped that it would be quite useful to study the fundamental concepts on these topics for the pursuit of allied research.

The approach in this book is to provides an understanding of the soft computing field, to work through soft computing using examples, to integrate pseudo - code operational summaries and Matlab codes, to present computer simulation, to include real world applications and to highlight the distinctive work of human consciousness in machine.

I believe the chapters would help in understanding not only the basic issues and characteristic features of soft computing, but also the aforesaid problems of CTP and in formulating possible solutions. Dr. Chaturvedi deserves congratulations for bringing out the nice piece of work. Sankar K. Pal, Director Indian Statistical Institute

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