摘要
以自适应神经网络的基本原理和实现步骤为基础,研究了煤岩变形破裂过程电磁辐射自适应神经网络预测的原理及特点,将电磁辐射自适应神经网络模型应用于煤岩变形破裂过程声发射和电磁辐射序列的预测。研究结果表明,采用神经网络可以有效预测电磁辐射和声发射信号,为判定煤岩变形破裂状态提供依据。
Based on the basic principles and implementation steps of adaptive neural network (ANN), the theory and characteristics of ANN prediction of electromagnetic radiation in the process of coal and rock deformation and fracture are studied. The ANN electromagnetic radiation model is applied to predict the acoustic emission and electromagnetic radiation sequence in the process of coal and rock deformation and fracture. The results show that ANN can be used to effectively predict the electromagnetic radiation and acoustic emission signals so as to provide reliable data for judging the state of coal and rock failure.
出处
《金属矿山》
CAS
北大核心
2009年第9期140-142,149,共4页
Metal Mine
关键词
人工神经网络(ANN)
煤岩破坏
电磁辐射
预测
Artificial neural network( ANN), Coal and rock failure, Electromagnetic radiation, Prediction