%0 Journal Article
%T Artificial Neural Networks and Genetic Algorithm Used to Optimize Process Parameters of Reaction-sintered ZrO2-SiC(p) Ceramics<br>神经网络-遗传算法优化反应烧结ZrO2-SiC材料制备工艺
%A YAN Jia-Qang
%A ZHANG Pei-Xin
%A WU Wei-Qiong
%A SHAN Song-Gao
%A SUI Zhi-Tong
%A <br>阎加强
%A 张培新
%A 伍卫琼
%A 单松高
%A 隋智通
%J 无机材料学报
%D 1998
%I Science Press
%X The effects of reaction-sintering temperature and time, forming pressure, carbon black contentand Fe powder content on in-situ SiC powder content in reaction-sintered ZrO2-SiC(p) ceramicswere studied by using artificial neural networks. The optimum process parameters were optimizedwith genetic algorithm.
%K artificial neural networks
%K genetic algorithm
%K reaction sintering
%K process parametersoptimizdtion<br>人工神经网络
%K 遗传算法
%K 反应烧结
%K 工艺优化
%K ZrO_2－SiC
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=84529CA2B2E519AC&jid=ABC0063016AF57E1C73EF43C8D2212BD&aid=EB290F7852E805EDA1742E425B9DD20B&yid=8CAA3A429E3EA654&vid=FC0714F8D2EB605D&iid=B31275AF3241DB2D&sid=AB8B0EE7E1A96CB2&eid=2BCD2FED7562E194&journal_id=1000-324X&journal_name=无机材料学报&referenced_num=13&reference_num=9