Intelligent Recognition of Wear Mechanism Based on Improved BP Neural Network Model by Genetic Algorithm
A improved back propagation(BP)neural network by Genetic algorithm was introduced to realize the auto-matic classification and recognition of wear debris,based on the qualitative characterization of the morphological features of the wear debris making use of the characteristic parameters of wear debris shape,color,and surface texture.A neural net-work model based on the improved back propagation (BP)neural network by Genetic algorithm was established to classify and recognize the wear debris using those parameters as the input vectors.The algorithm of the established model was de-tailed.By comparing the results of automatic recognizing the wear debris by the improved BP neural network and the pres-ented BP neural network,it shows that the improved back propagation (BP)neural network combines the global optimiza-tion feature of genetic algorithm and the fast speed feature in local search of BP algorithm,which has a high recognition rate and better global search feature.
NETL
NSTL
万方数据
维普
