Title: Prediction of Steel Arch Stress in Tunnel Initial Support Based on GA-BP Neural Network
Abstract: This paper combined the genetic algorithm(GA)with the Back Propagation(BP)neural network to overcome the problem that BP algorithm is prone to local minimum.First,using the genetic algorithm global optimization characteristic optimized the weights and biases of a initialized BP network,then put the weights and biases as initial values into BP network for further training for searching optimum solution.It works well on the prediction of the stress about steel arch in the tunnel initial support of Zhugai Shan with this optimized BP neural network,which has high convergent speed and good prediction precision,and it is helpful to provide basis for controling the engineering construction.
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: article
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