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把Elman神经网络和模糊理论相结合,对凝汽器故障进行诊断。用Matlab7.0矩阵式运算语言开发出凝汽器故障诊断系统。在网络训练过程中证实了Elman网络相对前向型网络的优越性。并以系统的诊断实例说明该方法对于运行人员的指导意义。
Combining Elman neural network and fuzzy theory to diagnose the condenser fault. Using the Matlab7.0 Matrix Operational Language to Develop a Condenser Fault Diagnosis System. In the network training process confirmed Elman network relative to the advantages of forward-type network. The example of system diagnosis shows that this method is helpful to the operators.