基于MATLAB遗传神经网络的实现及其在磨机故障诊断中的应用

Realization of Genetic Neural Network Based on MATLAB and Its Application in Diagnosis for Malfunction of Mill

讨论了基于MATLAB遗传神经网络的建模思路及其实现,针对磨机故障诊断建立了相应的遗传神经网络模型,并进行了仿真试验,结果表明:该模型具有较高的精度,可以有效地运用于磨机故障诊断中的故障预测。

The paper discussesmodeling thinking and realization of geneticneural network based onMATLAB,founds correspondinggeneticneuralnetworkmodel accordingtodiagnosis for malfunction of mill and makes simulation test.The result shows that the model has higher accuracy and could apply to forecast in diagnosis for malfunction of mill.