摘要
针对电站锅炉这一高故障率的动力设备采用模糊Modular神经网络进行诊断 ,采用VisualC 编程 ,对权值进行训练。讨论了循环次数、学习率、规则数与学习误差平方和等之间的相互关系 。
Pointing to power station boiler,a kind of generation equipment with high failure rate,this paper uses Modular fuzzy neural network in fault diagnosis,with being programmed using Visual c language,and sample training The relationship between the weight values,circulating times, study rate,regulating number and learning errors are discussed The conclusion is that his diagnostic system has its own advantages
出处
《四川工业学院学报》
2001年第4期22-24,共3页
Journal of Sichuan University of Science and Technology
