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论文类型： 期刊论文

发表时间： 2010-03-01

发表刊物： EXPERT SYSTEMS WITH APPLICATIONS

收录刊物： SCIE、EI

卷号： 37

期号： 2

页面范围： 1250-1255

ISSN号： 0957-4174

关键字： Forecasting; Grey correlation analysis; Adaptive neuro-fuzzy system; Hydraulic valve

摘要： Accurate prediction is crucial for the synthesis characteristics of the hydraulic valve in industrial production. A prediction method (G-ANFIS for short) based on grey correlation and adaptive neuro-fuzzy system (ANFIS) to forecast synthesis characteristics of hydraulic valve is devised and the utilizing of the method can help enterprises to decrease the repair rate and reject rate of the product. Grey correlation model is used first to get the main geometric elements affecting the synthesis characteristics of the hydraulic valve and thus simplifies the system forecasting model. Then use ANFIS to build a prediction model based on the above mentioned main geometric elements To illustrate the applicability and capability of the devised prediction method, a specific hydraulic valve production was used as a case study. The results demonstrate that the prediction method was applied successfully and could provide high accuracy. The method performed better than artificial neural networks (ANN) to forecast the synthesis characteristics of hydraulic valve. (C) 2009 Elsevier Ltd All rights reserved.