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A Quantitative DFA Method Based on Neural Network and Function Analysis

A Quantitative DFA Method Based on Neural Network and Function Analysis
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摘要 In this paper, a new systematic methed of quantitative DFA is presented based on the function analysis.The reduction of the number of components forming product is realized by incorporating some parts as the features of others. In order to evaluate assemblability of a product objectively, accurately and completely, the factors affecting assembability have been identified in terms of the production mode used to assemble product, and neural network and fuzzy set theory are adopted to quantify the effect of factors on assemblability. A case study is given, and the results demonstrate the effectiveness and validity of the method. In this paper, a new systematic methed of quantitative DFA is presented based on the function analysis.The reduction of the number of components forming product is realized by incorporating some parts as the features of others. In order to evaluate assemblability of a product objectively, accurately and completely, the factors affecting assembability have been identified in terms of the production mode used to assemble product, and neural network and fuzzy set theory are adopted to quantify the effect of factors on assemblability. A case study is given, and the results demonstrate the effectiveness and validity of the method.
出处 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 1998年第4期15-18,共4页 哈尔滨工业大学学报(英文版)
关键词 DFA ASSEMBLABILITY NEURAL network function analysis FUZZY SET theory DFA, assemblability, neural network, function analysis, Fuzzy set theory
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