Metal Mine ›› 2009, Vol. 39 ›› Issue (02): 60-62+78.
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Zheng Chongqi1,Wang Xiancheng1,Feng Baomin2
Online:
Published:
Abstract: In order to effectively improve the deficiency of conventional artificial neural network's algorithm and precisely predict the deformation of foundation pit, this paper establishes a model exemplified by actual projects for neural network by adopting an enhanced artificial neural network.Furthermore, taking actual deformation data of constructed foundation pit with the same or similar conditions as learning sample, and actual deformation measurements as desired output, the neural network is trained.The results obtained show that the output of this training method for neural network is relatively reliable and close to reality.Therefore, such a training method is very effective for predicting the deformation of foundation pit and can be used as a source of reference for other projects of foundation pit.
Key words: Foundation pit, Support structure, Artificial neural network, Deformation prediction
ZHENG Chong-Qi, WANG Xian-Cheng, FENG Bao-Min. Application of Enhanced Neural Network in the Synthesized Deformation Prediction of Foundation Pit[J]. Metal Mine, 2009, 39(02): 60-62+78.
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