Letters: Prediction error of a fault tolerant neural network

Authors:
John Sum;Andrew Chi-Sing Leung
Affiliations:
Institute of E-Commerce, National Chung Hsing University, Taichung 402, Taiwan;Department of Electronic Engineering, City University of Hong Kong, Kowloon Tong, KLN, Hong Kong
Venue:
Neurocomputing
Year:
2008

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Abstract

Prediction error is a powerful tool that measures the performance of a neural network. In this paper, we extend the technique to a kind of fault tolerant neural networks. Considering a neural network with multiple-node fault, we derive its generalized prediction error. Hence, the effective number of parameters of such a fault tolerant neural network is obtained. The difficulty in obtaining the mean prediction error is discussed. Finally, a simple procedure for estimation of the prediction error is empirically suggested.