Study on evaluation ways of feed-forward neural networks generalization ability

Yanfang Li; Wei He; Huamin Yang

doi:10.1117/12.574709

11 January 2005 Study on evaluation ways of feed-forward neural networks generalization ability

Yanfang Li, Wei He, Huamin Yang

Proceedings Volume 5642, Information Optics and Photonics Technology; (2005) https://doi.org/10.1117/12.574709
Event: Photonics Asia, 2004, Beijing, China

Abstract

Generalization ability of feed-forward neural networks is discussed in this paper. Firstly, presents and certifies two practical methods for improving networks generalization ability based on theory and experiment research. Secondly, gives a measuring model of networks generalization ability with generalization error. The essential is to define a probability input model and regard the expectation error of network upon testing samples as index for measuring networks generalization ability. Computation quantity and complexity are much less compared with traditional method.

Citation Download Citation

Yanfang Li, Wei He, and Huamin Yang "Study on evaluation ways of feed-forward neural networks generalization ability", Proc. SPIE 5642, Information Optics and Photonics Technology, (11 January 2005); https://doi.org/10.1117/12.574709

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