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Chapter 6. Neuro-genetic information processing for optimisation and adaptation in intelligent systems.
| Content Provider | CiteSeerX |
|---|---|
| Author | Watts, Michael Kasabov, Nikola |
| Abstract | Abstract. This chapter describes the intersection of two areas of artificial intelligence research, genetic algorithms and neural networks. The chapter has six main sections. The first describes the motivation for this research, which is followed by a gentle introduction to the basic principles of genetic algorithms. The third section deals with the application of genetic algorithms to conventional neural networks, while the fourth continues this into neurofuzzy systems. The fifth section describes some advanced neurogenetic systems and suggests a new model for this. Finally, the conclusion reviews the preceding sections. 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Genetic Algorithm Intelligent System Neuro-genetic Information Processing Main Section Preceding Section Basic Principle Neural Network Fifth Section Gentle Introduction New Model Artificial Intelligence Research Third Section Deal Advanced Neurogenetic System Conventional Neural Network Neurofuzzy System |
| Content Type | Text |
| Resource Type | Article |
