煤矿机械设备参数变化规律主要体现在煤矿机械设备技术参数监测记录中,将设备技术参数监测记录视为关于时间变量的函数,并用神经网络模型加以表示。首先介绍了人工神经元模型、神经网络学习方法以及动态仿真等相关理论知识,在此基础上对基于神经网络的煤矿机械设备状态监测记录模型具体应用进行阐述。 Coal mine machinery and equipment parameters change rule is mainly reflected in the technical parameters of coal mine machinery monitoring records, the technical parameters of equipment monitoring records as a function of time variables, and use neural network model to be said. First introduced the artificial neuron model, neural network learning methods and dynamic simulation and other related theoretical knowledge, based on this neural network based on the coal mine machinery and equipment condition monitoring record model specific applications are described.