β Scribed by Dr. D. K. Chaturvedi (auth.)
No coin nor oath required. For personal study only.
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 authorβs own research. It will provide a good introduction to a reader interested in this subject.
Om P. Malik, Professor Emeritus, University of Calgary
Front Matter....Pages I-XXII
Introduction to Soft Computing....Pages 1-10
Life History of Brain....Pages 11-22
Artificial Neural Network and Supervised Learning....Pages 23-50
Factors Affecting the Performance of Artificial Neural Network Models....Pages 51-85
Development of Generalized Neuron and Its Validation....Pages 87-122
Applications of Generalized Neuron Models....Pages 123-221
Introduction to Fuzzy Set Theoretic Approach....Pages 223-293
Applications of Fuzzy Rule Based System....Pages 295-362
Genetic Algorithms....Pages 363-381
Applications of Genetic Algorithms to Load Forecasting Problem....Pages 383-402
Synergism of Genetic Algorithms and Fuzzy Systems for Power System Applications....Pages 403-477
Integration of Neural Networks and Fuzzy Systems....Pages 479-499
ANN β GA-Fuzzy Synergism and Its Applications....Pages 501-508
Back Matter....Pages 509-612
Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Electrical Engineering
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