Title :
Study on wood dyeing pigment formula prediction model based on dynamic fuzzy neural network
Author :
Guan, Xuemei ; Guo, Minghui ; Cao, Jun
Author_Institution :
Inf. & Comput. Eng. Coll., Northeast Forestry Univ., Harbin, China
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.
Keywords :
dyeing; fuzzy neural nets; image colour analysis; image matching; production engineering computing; wood processing; color matching system; dynamic fuzzy neural network; wood dyeing pigment formula prediction model; Application software; Color; Computer networks; Forestry; Fuzzy neural networks; Fuzzy systems; Laboratories; Materials science and technology; Pigmentation; Predictive models; computer color matching; dynamic fuzzy neural network (DNFM);
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485872
