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以BP神经网络模型为平台,对已知稳定性影响因素样本学习训练后,可以实现待测样本的巷道稳定性类别的识别,整个模型的求解过程是通过MATLAB软件来完成,利用BP网络模型的拟合特点及MATLAB的计算优势,可以准确、快速地完成对深部巷道围岩稳定性类别的鉴定工作,为深部巷道围岩锚喷支护设计提供依据。
BP neural network model as a platform for known stability of the sample after the learning and training, you can achieve the sample to be tested for the stability of the roadway category identification, the entire model of the solution process is completed by MATLAB software, the use of BP network model Fitting characteristics and the calculation advantages of MATLAB can accurately and quickly complete the classification of the surrounding rock stability of deep laneway classification work to provide the basis for the design of the surrounding rock bolt and shotcrete support in the deep roadway.