Engineering Evolutionary Intelligent Systems /
| Autor Corporativo: | |
|---|---|
| Otros Autores: | , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edición: | 1st ed. 2008. |
| Colección: | Studies in Computational Intelligence,
82 |
| Materias: |
Tabla de Contenidos:
- 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.