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《JOURNAL OF ENGINEERING FOR THERMAL ENERGY AND POWER》 1997-06
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BP Network Algorithm with Self-adaptive Learning Rate and Its Use in the Fuzzy Diagnosis of Turbogenerator Failures

Li Yong,Li Hongyuan,et al (Northeast Electric Power Institute)  
To overcome the shortcomings of a BP network,this paper proposes a BP algorithm with self adaptive learning rate,thus once for all overcoming the demerits of BP networkds,i.e.,slow convergency and inability to determine the value of learning rate.In addition,the disadvantage of BP network liable to fall into a local minimum point can also be effectively eliminated.Through the use of such an improved algorithm successfully realized is the fuzzy diagnosis of turbogenerator failures.
【CateGory Index】: TP39
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