NDLI: Electronic Parts Appearance Quality Prediction System Based on Wavelet-Fuzzy Neural Networks

Content Provider	IEEE Xplore Digital Library
Author	Huang, Zhihui Kan, Shulin Yuan, Jing Ren, Yizhou Wei, Yufeng Dong, Qiaoying
Copyright Year	2008
Abstract	In order to realization electronic parts product appearance quality detection control, one kind of processor based on the intelligent knowledge automatic extraction and system intelligence modeling was presented. In the processor, wavelet-fuzzy technique and neural network technique are combined. Uses the fuzzy wavelet extraction image feature, and wavelet function is used as fuzzy membership function. The fuzzy inference is realized by neural network and the shape of membership function can be adjusted in real time. It endues the processor with better capability of learning and self adapt. Based on establishment product quality oriented key characteristics index dynamic adaptability analysis control system, an architecture of intelligent fuzzy neural network combined with quality management module of manufacturing execution system (MES) is presented. It formed a detection product appearance quality of intelligent decision support system. The results of experiments demonstrate that the system can detect product appearance quality perfectly, with a high precision and has the practicality.
Starting Page	43
Ending Page	48
File Size	572458
Page Count	6
File Format	PDF
ISBN	9780769531199
DOI	10.1109/CISP.2008.38
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent networks Fuzzy control Shape Control system analysis Neural networks Automatic control Fuzzy neural networks Feature extraction Control systems Intelligent systems
Content Type	Text
Resource Type	Article

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