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    题名: A frequency assessment expert system of piezoelectric transducers in paucity of data
    作者: Chang, Fengming M.;Chen, Yeong-Chin
    贡献者: Department of Information Science and Applications
    关键词: Computer simulation;Expert systems;Fuzzy neural networks;Learning systems;Frequency calculation;Fuzzification;Mega-fuzzification
    日期: 2008-05
    上传时间: 2010-04-07 21:34:20 (UTC+8)
    出版者: Asia University
    摘要: It is difficult to measure in the laboratory the operating frequency of a piezoelectric transducer that is a kind of electric equipment. Some simulation methods were developed for this frequency calculation, but were still complex to perform. With high learning accuracy, a Frequency Assessment Expert System of Piezoelectric Transducers (FAESPT) is developed in this study to assess the frequency easily. FAESPT is based on mega-fuzzification that is a method to increase the learning accuracy with fuzzy neural network for the small dataset environment. In this article, FAESPT is established and its assessment accuracy is compared with traditional neural network and neuro-fuzzy method. The results indicate that FAESPT can easy to assess the frequency of a transducer and get good learning accuracy in the environment of the paucity of data. © 2007 Elsevier Ltd. All rights reserved.
    關聯: Expert Systems with Applications 34(4):2747-2753
    显示于类别:[行動商務與多媒體應用學系] 期刊論文


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