Artificial Neural Network based on Simulated Evolution and its Application to Estimation of Landslide

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概要

• 論文の詳細を見る

• 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, which are the outputs of landslide estimation problem, are 17% and 58% smaller than those of the conventional ANN, respectively. Moreover, the CPU time for the learning is 99% reduced.

• 2011-05-10

著者

• Yoichi Shiraishi

  Department Of Production Science And Technology Gunma University

• Yao Zhou

  Department Of Production Science And Technology Gunma University

• Yoichi Shiraishi

  Department Of Production Science & Technology Gunma University Gunma Japan

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