Soft Computing: Techniques and its Applications in Electrical Engineering: Studies in Computational Intelligence, cartea 103
Autor Devendra K. Chaturvedien Limba Engleză Hardback – 20 aug 2008
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
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 1262.11 lei 43-57 zile | |
Springer Berlin, Heidelberg – 20 noi 2010 | 1262.11 lei 43-57 zile | |
Hardback (1) | 1268.74 lei 43-57 zile | |
Springer Berlin, Heidelberg – 20 aug 2008 | 1268.74 lei 43-57 zile |
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Specificații
ISBN-13: 9783540774808
ISBN-10: 3540774807
Pagini: 628
Ilustrații: XXII, 612 p. 320 illus.
Dimensiuni: 155 x 235 x 36 mm
Greutate: 1.06 kg
Ediția:2008
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540774807
Pagini: 628
Ilustrații: XXII, 612 p. 320 illus.
Dimensiuni: 155 x 235 x 36 mm
Greutate: 1.06 kg
Ediția:2008
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
to Soft Computing.- Life History of Brain.- Artificial Neural Network and Supervised Learning.- Factors Affecting the Performance of Artificial Neural Network Models.- Development of Generalized Neuron and Its Validation.- Applications of Generalized Neuron Models.- to Fuzzy Set Theoretic Approach.- Applications of Fuzzy Rule Based System.- Genetic Algorithms.- Applications of Genetic Algorithms to Load Forecasting Problem.- Synergism of Genetic Algorithms and Fuzzy Systems for Power System Applications.- Integration of Neural Networks and Fuzzy Systems.- ANN – GA-Fuzzy Synergism and Its Applications.
Textul de pe ultima copertă
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
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
Caracteristici
Research monograph on soft computing techniques and its applications in electrical engineering Includes supplementary material: sn.pub/extras