摘要
提出了一个基于混合智能的电火花加工电参数学习模型 ,它模仿熟练操作者的决策过程 ,由工艺数据库、加工规则库、学习模块和推理模块组成。在学习模块中利用遗传算法从工艺数据库中抽取出反映电参数和加工结果之间关系的模糊产生式规则 ,存储在规则库中。推理模块基于这些规则利用模糊推理对新的加工要求提供合适的电参数。
A learning model with hybrid intelligence for the electrical parameter in EDM which imitates a decision making process of a skilled operator was described. The learning model consists of an EDM process data base,an EDM rule base,a learning module and a reasoning module.The learning module extracts relationships between electrical parameter and machining results from the process data stored in the EDM process data base in the form of a fuzzy production rule using genetic algorithms, and stored in the rule base. The reasoning module provides a suitable electrical parameter with this rules using fuzzy reasoning for a new machining request .
出处
《高技术通讯》
EI
CAS
CSCD
2000年第5期54-56,53,共4页
Chinese High Technology Letters
基金
国家自然科学基金重点资助项目!( 5 993 5 110 )
"九五"国防预研项目!( 18 7 4)
关键词
电火花加工
混合智能
遗传算法
模糊推理
EDM, Learning model, Hybrid intelligence, Genetic algorithms, Fuzzy reasoning
