首页> 中文期刊> 《国际设备工程与管理:英文版》 >Improvement of a Genetic Back Propagation Algorithm and Its Application to Diagnosis in Mechanical Failure

Improvement of a Genetic Back Propagation Algorithm and Its Application to Diagnosis in Mechanical Failure

         

摘要

A new improved genetic BP algorithm was put forward in the paper. To determine whether the network falls into local minimum point, a discriminant of local minimum was put forth in the training process of a neural network. A genetic algorithm was used to revise the weights of the neural network if the BP algorithm fell into minimums. The mechanical faults were diagnosed using the algorithm put forward in the paper, which verified the validity of this improved genetic BP algorithm.
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