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...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2008, 2008
|
| Edition: | 1st ed. 2008 |
| Series: | Studies in Computational Intelligence
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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