Evolving Fault-Tolerant Neural Networks |
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| Authors: | Zhi-Hua Zhou Shi-Fu Chen |
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| Affiliation: | (1) National Laboratory for Novel Software Technology, Nanjing University, 210093 Nanjing, China |
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| Abstract: | In this paper, genetic algorithm is used to help improve the tolerance of feedforward neural networks against an open fault. The proposed method does not explicitly add any redundancy to the network, nor does it modify the training algorithm. Experiments show that it may profit the fault tolerance as well as the generalisation ability of neural networks. |
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| Keywords: | Fault– tolerance Fault-tolerant neural networks Generalisation ability Genetic algorithm |
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