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煤矿巷道支护的形式是多种多样的,而在对支护体系的相关参数进行设计时,必须充分考虑各方面的影响因素,如巷道围岩性质、支护形式、应力变化等,这些数据的分析和处理十分复杂,可以通过构建神经网络模型的方式来实现。结合某煤矿的实际情况,对基于MATLAB的BP神经网络模型在巷道支护参数设计中的应用进行了分析,希望能够为煤矿巷道支护体系的设计提供一些参考依据。
The form of roadway support in coal mine is varied, and in the design of the relevant parameters of the support system, the influencing factors of all aspects must be fully considered, such as the nature of roadway surrounding rock, support form, stress changes, etc. These data The analysis and processing are complex and can be done by building a neural network model. Combined with the actual situation of a coal mine, the application of BP neural network model based on MATLAB in the design of roadway support parameters is analyzed, hoping to provide some reference for the design of mine roadway support system.