Neural network training algorithm that can predict generalization capacity

Jin Lu; Wenli Xu; Zengjin Han

doi:10.1117/12.217526

28 August 1995 Neural network training algorithm that can predict generalization capacity

Jin Lu, Wenli Xu, Zengjin Han

Proceedings Volume 2620, International Conference on Intelligent Manufacturing; (1995) https://doi.org/10.1117/12.217526
Event: International Conference on Intelligent Manufacturing, 1995, Wuhan, China

Abstract

Neural network training requires a large quantity of samples and consumes a great deal of computing time. Despite this, we still do not know the generalization capacity of a trained neural network in a certain domain. In this paper, we propose an algorithm for training neural networks to approximate polynomials. This algorithm can work with a relatively small sample set and predict the generalization capacity of the learned neural network. Simulation results demonstrate the property of this algorithm.

Citation Download Citation

Jin Lu, Wenli Xu, and Zengjin Han "Neural network training algorithm that can predict generalization capacity", Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); https://doi.org/10.1117/12.217526

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