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针对综采工作面液压支架控制器通信网络效能与其影响因素之间的复杂非线性关系,将多层前馈型BP神经网络引入支架控制器通信网络效能预测中,构建了通信网络效能预测指标体系,设计了通信网络效能BP预测模型,并采用C++语言编制了相应的预测分析程序。通过对预测模型学习与训练,成功建立了液压支架控制器通信网络效能与其影响因素之间的对应关系。
In view of the complex nonlinear relationship between the performance of hydraulic support controller and its influencing factors in fully mechanized coal face, the multi-layer feedforward BP neural network is introduced into the performance prediction of support controller communication network, and the performance index of communication network is established , Designed BP neural network prediction model and used C ++ language to prepare the corresponding predictive analysis program. Through the learning and training of the predictive model, the corresponding relationship between the effectiveness of the communication network of the hydraulic support controller and its influencing factors has been successfully established.