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Optimal parameter design with qualitative and quantitative characteristics is studied using integration of Artificial Neural Network, Genetic Algorithm, Fuzzy theory and Exponential Desirability Functions. Some results are reached, which show that the method proposed is effective., authors=null, authorsList=null, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=daGU63Bu5G2RZjientFvcQ==, pdfFileSize=207352, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242117919463768068, articleId=1242117917903491436, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=最优参数设计问题的软计算集成方法研究, columnId=1242117343166399450, journalTitle=科技导报, columnName=研究报告, runingTitle=null, highlight=null, articleAbstract=最优参数设计是稳健性设计中的重要组成部分,是一个不断连续改进的过程。应用人工神经网络、遗传算法、模糊理论等软计算方法和指数功效函数对具有定性定量输出变量的参数优化设计问题进行了研究,并进行实证分析,表明了方法的可行性。, 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