A Frequency Assessment Expert System of PiezoelectricTransducers in Paucity of Data

ASIAIR > College of Computer Science > Department of Computer Science and Information Engineering > Journal Artical > Item 310904400/8921

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Title:	A Frequency Assessment Expert System of PiezoelectricTransducers in Paucity of Data
Authors:	Chang;F.M.;Chen;Y-C.
Keywords:	FAESPT;Expert system;Mega-fuzzification;Machine learning
Date:	2008
Issue Date:	2010-04-15 05:41:58 (UTC+0)
Abstract:	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.
Relation:	Expert Systems with Application 34 : 2747–2753
Appears in Collections:	[Department of Computer Science and Information Engineering] Journal Artical

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