Application of Neural Network to the Statistics and Prediction of Dynamical Damage and Evolutement in the Large Scale Mine-out Area Supported by Rock-Based Composite Materials

LAI Xingping; ZHANG Lijie; CAI Meifeng

doi:10.13374/j.issn1001-053x.2003.04.003

LAI Xingping, ZHANG Lijie, CAI Meifeng. Application of Neural Network to the Statistics and Prediction of Dynamical Damage and Evolutement in the Large Scale Mine-out Area Supported by Rock-Based Composite Materials[J]. Chinese Journal of Engineering, 2003, 25(4): 300-303. DOI: 10.13374/j.issn1001-053x.2003.04.003

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Application of Neural Network to the Statistics and Prediction of Dynamical Damage and Evolutement in the Large Scale Mine-out Area Supported by Rock-Based Composite Materials

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Abstract

The neural network structural computation method was applied to the trend statistics and prediction of stress evolvement in the large scale mine-out area supported by rock-based composite materials. The predicting values were compared with the in-situ monitoring ones. The results show they are very agreeable.

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Application of Neural Network to the Statistics and Prediction of Dynamical Damage and Evolutement in the Large Scale Mine-out Area Supported by Rock-Based Composite Materials

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