Title: A GAAided Training Method for Function-Link Neural Network
Abstract: A new method combining genetic algorithm with delta rule is proposed to adjust the parameters and structure of feed-forward function-link neural network without hidden layers. Results of the experiments on ‘XOR’ problem and curved-surface-fitting show that the proposed method has superior performance.
Publication Year: 2004
Publication Date: 2004-01-01
Language: en
Type: article
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