摘要
本文介绍了人工神经网络中使用最广泛的BP神经网络,通过除湿机的特征参数与故障原因之间的关系,建立了神经网络模型,并用Matlab神经网络工具箱函数对网络进行了训练,结果达到要求,能较好地识别故障。
The widely used BP neural network in ANN is introduced in this paper,through the relationship between the characteristic parameters and the fault reasons,and the neural network models of dehumidifiers are built. And training the neural network with Matlab neural network toolbox functions,the result shows that this model is feasible and effective,it can identify the fault easily.
出处
《机电工程技术》
2007年第7期62-63,73,共3页
Mechanical & Electrical Engineering Technology