期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
WEAR PARTICLE CLASSIFICATION BASED ON BP NEUPAL NETWORK WITH FUZZY—FACTOR 被引量:1
1
作者 LiYanjun 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2002年第1期71-76,共6页
The program of auto-identification of wear particles is given using aritficial neural network(ANN)technique,based on a set of debris morphology descriptor that de-scribes the shape characters of wear particles.The tra... The program of auto-identification of wear particles is given using aritficial neural network(ANN)technique,based on a set of debris morphology descriptor that de-scribes the shape characters of wear particles.The train-ing speed of the network with thw fuzzy-factor is muchfaster than that of the traditional methods.For esamale,the speed of training the network in this paper is increased five times in Exclusive OR problem(XORproblem)than other ways,and the debris chassification accuracy is more than 90% by this method,and the idemtification speed is very fast. 展开更多
关键词 WEAR PARTICLES BP NEURAL NETWORK fuzzy-fac-tor lubricating oilinspection DEBRIS identifi-cation 因子模糊化 BP神经网络 磨损颗粒 自动识别
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部