NDLI: Study on wood dyeing pigment formula prediction model based on dynamic fuzzy neural network

Content Provider	IEEE Xplore Digital Library
Author	Xuemei Guan Minghui Guo Jun Cao
Copyright Year	2010
Description	Author affiliation: Information and Computer Engineering College, Northeast Forestry University, Harbin, 150040, China (Xuemei Guan) \|\| Key Laboratory of Bio-based, Material Science and technology, Northeast Forestry University, Harbin, 150040, China (Minghui Guo; Jun Cao)
Abstract	This paper studied a kind of wood dyeing pigment formula prediction model built by using dynamic fuzzy neural network. The relative error of this prediction model was 0.52% and its training time was 128s. The results were comparatively satisfactory. This method provided a new way for wood dyeing and color matching and a new idea for the applications of its theories in color matching system, so it had certain theoretical research and practical application value.
File Size	188091
File Format	PDF
ISBN	9781424463473
e-ISBN	9781424463497
DOI	10.1109/ICCET.2010.5485872
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Materials science and technology dynamic fuzzy neural network (DNFM) computer color matching Laboratories Forestry Color Predictive models Fuzzy neural networks Computer networks Application software Pigmentation Fuzzy systems
Content Type	Text
Resource Type	Article

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Study on wood dyeing pigment formula prediction model based on dynamic fuzzy neural network