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用模糊神经网络进行铣刀磨损状态识别
引用本文:陈勇. 用模糊神经网络进行铣刀磨损状态识别[J]. 机械, 2011, 38(1): 22-25,73
作者姓名:陈勇
作者单位:成都电力金具总厂,四川,成都,610100
摘    要:
刀具磨损监测过程是一个模式识别过程,模糊推理和人工神经网络都是进行模式识别非常有效的办法,针对模糊系统和神经网络各自表现出来的不足,将模糊推理和神经网络结合起来,充分利用模糊系统在处理结构性知识上的优势和神经网络在自学习和并行处理上的能力,形成模糊神经网络进行刀具磨损在线监测识别.通过研究模糊系统和神经网络的结合形势,...

关 键 词:刀具磨损  在线监测  模糊神经网络

Cutter wear state recongnition base on feature selection and fuzzy neural network
CHEN Yong. Cutter wear state recongnition base on feature selection and fuzzy neural network[J]. Machinery, 2011, 38(1): 22-25,73
Authors:CHEN Yong
Affiliation:CHEN Yong(Chenddu Electric Power Fitting Group,Chengdu 610100,China)
Abstract:
Tool wear monitoring process is a pattern recognition process,Fuzzy reasoning and neural networks are very effective to pattern recognition,because of shortcoming of fuzzy system and neural networks,this paper makes full use of fuzzy system which is advantage to deal with structure knowledge and neural networks that is good at self-learning and parallel processing to form fuzzy neural networks to monitor tool wear.By studying the situation of combination of fuzzy system and neural networks,this paper select...
Keywords:tool wear  online monitor  fuzzy neural networks  
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