摘要
为了实现对刀具材料的自动选择,在深入解析了影响刀具材料选择的各项因素的情况下,对各项影响因素进行模糊化处理,得到其隶属度作为神经网络的输入。在研究了神经网络的结构及各项参数后,完成了神经网络的设计。继而通过模糊理论与神经网络算法的有机结合,得到一种刀具材料的自适应选择模型。经过实验验证,该模型能够模拟实际情况,对刀具材料的选择做出快速且准确的判断。
In order to selecting cutting tool material automatically,in deep parsing of the various factors influencing the cutting tool material selection,fuzzy processed the various factors,gained the membership as input of the neural network. After studying the structure and parameters of neural network,the design of neural network was completed. Then through organically combining the fuzzy theory and the algorithm of neural network,gained a cutting tool material adaptive selection model. Through experimental verification,the model can simulate the actual situation,and make fast and accurate judgment of cutting tool materials selection.
出处
《组合机床与自动化加工技术》
北大核心
2017年第6期134-136,共3页
Modular Machine Tool & Automatic Manufacturing Technique
基金
国家"十一五"科技支撑计划项目(2006BAC02A02)
关键词
刀具材料
模糊化
隶属度
神经网络
cutting tool material
fuzzy
membership
neural netw ork
