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河南理工大学采用MATLAB的BP神经网络工具箱,建立了矿山巷道围岩主要影响因素与支护形式和支护参数之间的高度非线性BP神经网络模型,使支护形式、支护参数等与地质条件和开采技术条件间形成高度非线性映射,在较大程度上克服了以往锚杆支护设计方法的不足。
Henan University of Technology adopts BP neural network toolbox of MATLAB to establish a highly nonlinear BP neural network model of the main influencing factors of surrounding rock in roadway with the support form and support parameters so that the support form, The formation of a highly nonlinear mapping between the geological conditions and the technical conditions of mining has largely overcome the shortcomings of the previous methods of bolt support design.