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自适应学习率的BP网络算法及其在汽轮发电机组故障模糊诊断中的应用
引用本文:李勇.自适应学习率的BP网络算法及其在汽轮发电机组故障模糊诊断中的应用[J].热能动力工程,1997,12(6):455-458.
作者姓名:李勇
作者单位:东北电力学院,东南大学
摘    要:针对BP网络的不足,提出了自适应学习率的BP网络算法,从根本上解决了BP网络学习率的取值问题和收敛速度慢的问题,并有效地克服了BP网络易陷入局部最小点缺点,采用这种改进算法成功地实现了对汽轮发电机线故障的模糊诊断。

关 键 词:神经网络  BP算法  汽轮发电机  模糊诊断  故障诊断

BP Network Algorithm with Self-adaptive Learning Rate and Its Use in the Fuzzy Diagnosis of Turbogenerator Failures
Li Yong,Li Hongyuan,et al.BP Network Algorithm with Self-adaptive Learning Rate and Its Use in the Fuzzy Diagnosis of Turbogenerator Failures[J].Journal of Engineering for Thermal Energy and Power,1997,12(6):455-458.
Authors:Li Yong  Li Hongyuan  
Affiliation:Northeast Electric Power Institute
Abstract: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.
Keywords:neural network  BP algorithm  turbogenerator  fuzzy diagnosis  
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