In this paper, a novel approach to adjusting the weightings of fuzzy neural networks using a Real-coded Chaotic Quantum-inspired genetic Algorithm (RCQGA) is proposed. Fuzzy neural networks are traditionally trained by using gradient-based methods, which may fall into local minimum during the learni
✦ LIBER ✦
Cooperative binary-real coded genetic algorithms for generating and adapting artificial neural networks
✍ Scribed by Dolores Barrios; Alberto Carrascal; Daniel Manrique; Juan Ríos
- Publisher
- Springer-Verlag
- Year
- 2003
- Tongue
- English
- Weight
- 566 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0941-0643
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