Soft computing : techniques and its applications in electrical engineering
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...
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| Главный автор: | |
|---|---|
| Другие авторы: | |
| Формат: | Livre numérique |
| Язык: | Anglais |
| Опубликовано: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Редактирование: | 1st ed. 2008. |
| Серии: | Studies in Computational Intelligence
103 |
| Online-ссылка: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Примечание: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Soft Computing, Texte imprimé, 9783540870142 • Soft Computing, Texte imprimé, 9783642096228 • Soft Computing, Texte imprimé, 9783540774808 |
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| 100 | 1 | |a Chaturvedi, Devendra K., |d 1967- | |
| 245 | 1 | 0 | |a Soft computing : |b techniques and its applications in electrical engineering |c by D. K. Chaturvedi ; edited by Janusz Kacprzyk. |
| 250 | |a 1st ed. 2008. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 103 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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. | ||
| 700 | 1 | |a Kacprzyk, Janusz, |d 1947- |4 pbd | |
| 776 | 0 | |t Soft Computing |b Texte imprimé |z 9783540870142 | |
| 776 | 0 | |t Soft Computing |b Texte imprimé |z 9783642096228 | |
| 776 | 0 | |t Soft Computing |b Texte imprimé |z 9783540774808 | |
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