Artificial Neural Network Based on Simulated Evolution and Its Application to Estimation of Landslide

Abstract

The conventional steepest descent method in the back propagation process of an artificial neural network (ANN) is replaced by Simulated Evolution algorithm. This is called SimE-ANN and is applied to the estimation of landslide. In the experimental results, the errors of displacement and resistance of the piles in SimE-ANN are 50.2% and 28.0% smaller than those of the conventional ANN in average over 10 sets of data, respectively. However, the experimental results also show the effects of overtraining of SimE-ANN and the appropriate selection of training data should be investigated as future work.