模糊神经网络在磨削参数决策系统的应用研究  

The Study of Optimum Detemination of Grinding Conditions with Fuzzy Neural Network

作　　者：楼少敏[1] 

机构地区：[1]杭州应用工程技术学院机电工程系,浙江杭州310012

出　　处：《机电工程》2001年第5期105-107,共3页Journal of Mechanical & Electrical Engineering

摘　　要：提出运用模糊神经网络的非线性建模和自学习能力,构造磨削参数智能抉择系统,并应用于实际磨削过程,达到控制磨削加工质量。This Paper is proposed in the paper to determine intelliqeutly the grinding factors by utilizing the non-linear modeling theory and self-learning capability of Fuzzy network. Finally,the grinding conditions determination software based on above model is put into practice and proves its effectiveness.

关 键 词：磨削参数 模糊神经网络 智能化 决策系统 磨削加工 

分 类 号：TG580.6[金属学及工艺—金属切削加工及机床]