作者: Li Guiqin , Kong Fanhui , Lu Wenle , Yuan Qingfeng , Fang Minglun
DOI: 10.1109/ICCA.2007.4376599
关键词:
摘要: Considering the needs for getting more precise parameters and at same time to get faster cutting speed better surface roughness in Wire Electrical Discharge Machining (WEDM), authors established a model of WEDM, which has higher forecast precision generalization ability could help us understanding basic principles WEDM. The combined modeling function fuzzy inference with learning artificial neural network; set rules been generated directly from experimental data. Integrated genetic optimization procedure, systems are used optimize wire electrical discharge WEDM optimum results have proved feasibility practicability system