Engineering Evolutionary Intelligent Systems
Evolutionary design of intelligent systems is gaining much popularity due to its capabilities in handling several real world problems involving optimization, complexity, noisy and non-stationary environment, imprecision, uncertainty and vagueness. This edited volume 'Engineering Evolutionary In...
Guardat en:
| Altres autors: | , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2008. |
| Col·lecció: | Studies in Computational Intelligence
82 |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Engineering evolutionary intelligent systems, Ajith Abraham, Crina Grosan, Witold Pedrycz (eds.), Berlin, Springer, 2008, 1 vol. (XIX-444 p.), Studies in computational intelligence, 978-3-540-75395-7 • Engineering Evolutionary Intelligent Systems, Texte imprimé, 9783540844549 • Engineering Evolutionary Intelligent Systems, Texte imprimé, 9783642094668 • Engineering evolutionary intelligent systems, Ajith Abraham, Crina Grosan, Witold Pedrycz (eds.), Berlin, Springer, 2008, 1 vol. (XIX-444 p.), Studies in computational intelligence, 978-3-540-75395-7 |
Taula de continguts:
- Engineering Evolutionary Intelligent Systems: Methodologies, Architectures and Reviews Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Perceptron Architectures Genetically Optimized Self-organizing Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons: Analysis and Design Evolution of Inductive Self-organizing Networks Recursive Pattern based Hybrid Supervised Training Enhancing Recursive Supervised Learning Using Clustering and Combinatorial Optimization (RSL-CC) Evolutionary Approaches to Rule Extraction from Neural Networks Cluster-wise Design of Takagi and Sugeno Approach of Fuzzy Logic Controller Evolutionary Fuzzy Modelling for Drug Resistant HIV-1 Treatment Optimization A New Genetic Approach for Neural Network Design A Grammatical Genetic Programming Representation for Radial Basis Function Networks A Neural-Genetic Technique for Coastal Engineering: Determining Wave-induced Seabed Liquefaction Depth On the Design of Large-scale Cellular Mobile Networks Using Multi-population Memetic Algorithms A Hybrid Cellular Genetic Algorithm for the Capacitated Vehicle Routing Problem Particle Swarm Optimization with Mutation for High Dimensional Problems