Risk Evaluation of Water Inrush from Coal Floor Based on BP Neural Network

Abstract:

According to the nonlinear dynamic characteristic of coal seam floor water inrush, coal seam floor water inrush risk evaluation which includes 4 first level indicators,14 level two indexes was built based BP neural network. According to the test collection of engineering data, coal seam floor water inrush risk evaluation system based VB and MATLAB is reliable. Application to a mine coal seam No.2 working face was verified. The results show that, the evaluation method in water inrush is feasible, reasonable.

• Periodical: Applied Mechanics and Materials (Volumes 744-746)
• Pages: 1728-1732
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.744-746.1728
• Online since: March 2015
• Authors: Wei Tao Liu*, Shi Liang Liu, Yan Shuang Sun
• Keywords: BP Neural Network, Evaluation Model, Risk Evaluation, Water Inrush

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