%0 Journal Article
%T COMPUTER SIMULATION OF NEURAL NETWORK CONTROL SYSTEM FOR CO_2 WELDING PROCESS
%A D Fan
%A B Li
%A YZ Ma
%A JH Chen
%A <br>
%J 金属学报(英文版)
%D 2000
%I 
%X In this paper, neural network control systems for decreasing the spatter of CO2 welding have been created. The Generalized inverse Learning Architecture(GILA), the SPecialized inverse Learning Architecture(SILA)-I & H and the Error Back Propagating Model(EBPM) are adopted respectively to simulate the static and dynamic welding control processes. The results of simulation and experiment show that the SILA-I and EBPM have betted properties. The factors affecting the simulating results and the dynamic response quality have also been analyzed.
%K welding spatter
%K neural network control
%K simulation<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=AB188D3B70B071C57EB64E395D864ECE&jid=C19B08D052F5FD8445F4BB80A1A5D7BF&aid=91AAF8E981AB8F0318DED29F8B3180CD&yid=9806D0D4EAA9BED3&vid=FC0714F8D2EB605D&iid=CA4FD0336C81A37A&sid=3E0812ED84A7B31D&eid=23104246A5FCFCEF&journal_id=1006-7191&journal_name=金属学报(英文版)&referenced_num=0&reference_num=3