Expert Systems with Applications: An International Journal
Hybrid PSO and GA for neural network evolutionary in monthly rainfall forecasting
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
Hybird evolutionary algorithms for artificial neural network training in rainfall forecasting
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
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The overfitting is a problem of fundamental significance with great implications in the applications of neural network. To avoid overfitting, cross-validation has been proposed. However, in many cases the training set is too small so that cross-validation cannot be applied. Aiming at the problem, a new validation method based on expanded training sets is proposed in this paper. Experimental results show that the generalization ability of neural networks can be greatly improved by the proposed validation method.