A hybrid genetic algorithm for supervised inductive learning
β Scribed by Liu Juan; Li Weihua
- Publisher
- Wuhan University
- Year
- 1996
- Tongue
- English
- Weight
- 400 KB
- Volume
- 1
- Category
- Article
- ISSN
- 1007-1202
No coin nor oath required. For personal study only.
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## Abstract The back propagation of error in multiβlayer perceptrons when used for supervised training is a nonβlocal algorithm in space, that is it needs the knowledge of the network topology. On the other hand, learning rules in biological systems with many hidden units, seem to be local in both
A supervised learning algorithm (Scaled Conjugate Gradient, SCG) is introduced TIw pelformance of SCG is benchmarked against that of the standard back propagation algorithm (BP) ( Rumelhart. Hinton. & 14"illiams. 1986 ), the conjugate gradient algorithm with line search ( CGL ) ( Johansson, Dowla. &