天津工业大学学报2016，Vol.35Issue(6)：27-31,5.DOI:10.3969/j.issn.1671-024x.2016.06.005
基于Ga-BP神经网络的色纺纱配色
Color matching in colored spun yarn based on Ga-BP neural network
摘要
Abstract
For the deficiencies of traditional color matching and color matching algorithm, BP neural network is used to pre-dict the formula of the colored spun yarn, and the genetic algorithm is introduced to improve the BP neural net-work. The results show that:BP neural network can be optimized when the genetic algorithm is introduced into it, but when the test sample is contained in the training sample data, the color matching accuracy of this Ga-BP neural network is very high and the mean formula absolute error is almost 0, while when the test sample is not in-cluded in the training samples, the color matching accuracy is lower and the mean formula absolute error is 0.033, the mean color difference of the first smaple is 1.69 CMC(2∶1), and more than 1 CMC(2∶1).关键词
色纺纱/BP神经网络/遗传算法/配色Key words
colored spun yarn/BP neural network/genetic algorithm/color matching分类
轻工纺织引用本文复制引用
马崇启,王玉娟,刘建勇,程璐..基于Ga-BP神经网络的色纺纱配色[J].天津工业大学学报,2016,35(6):27-31,5.基金项目
国家重点研发计划专题 （）
