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based on simulated annealing algorithm
XU X uemei
School of Information Science and Technology Zhejiang Sci-Tech University Hangzhou Zhejiang China
( , , , 310018, )
Abstract
In o rder to im prove th e co lor match ing a ccuracy, e fficiency an d general ization abil ity of
traditiona l color match ing me thods and e xis ting col or matchi ng a lgorithms, a fabric intelligent color
ma tchi ng mod el based on t he combinati on of gen etic a lgor ithm and s imu late d annea ling algorit hm based
on B P ne ural networ k was co nstru cted , and the co lor wa s predicted by the traine d BP neu ral netwo rk.
The go od BP n eu ral n etwork and the C IEDE 2000 c olor differ ence f orm ula we re com bined to form the
fitn ess function o f the gene tic algorith m. The g ene tic algo rith m bas ed on the BP neur al network impro ved
by th e simulate d a nnea lin