Genetic Algorithm Training of Elman Neural Network in Motor Fault Detection
โ Scribed by X. Z. Gao; S. J. Ovaska
- Publisher
- Springer-Verlag
- Year
- 2002
- Tongue
- English
- Weight
- 134 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0941-0643
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Artificial neural networks (ANNs) have been used to detect faults in rotating machinery for a number of years, using statistical methods to preprocess the vibration signals as input features. ANNs have been shown to be highly successful in this type of application; in comparison, support vector mach
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