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Use of genetic programming for the search of a new learning rule for neural networks

International Conference on Evolutionary Computation, pp.324-327vol.1, (1994)

被引用63|浏览18
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In previous work we explained how to use standard optimization methods such as simulated annealing, gradient descent and genetic algorithms to optimize a parametric function which could be used as a learning rule for neural networks. To use these methods, we had to choose a fixed number of parameters and a rigid form for the learning rule...更多

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