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...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Andre forfattere: | |
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2008. |
| Serier: | Studies in Computational Intelligence
103 |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
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 |
Indholdsfortegnelse:
- 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.