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基于人工神经网络水性涂料电脑配色(英文)
引用本文:杨涛,廖宁放,吴威敏.基于人工神经网络水性涂料电脑配色(英文)[J].照明工程学报,2005(Z1).
作者姓名:杨涛  廖宁放  吴威敏
作者单位:[1]北京理工大学颜色科学与工程国家专业实验室 [2]北京
摘    要:本文提出了一种基于多层BP人工神经网络的水性涂料电脑配色方法。实验表明,BP神经网络模型经训练后能够较好地反映水性涂料反射样本色度参数空间到配方参数空间的非线性映射关系。

关 键 词:电脑配色  水性涂料  BP神经网络

Computer Color Matching of Paints Based on Neural Networks
Yang Tao,Liao Ningfang and Wu WeiminNational Lab of Color Science and Engineering,Beijing Institute of Technology,Beijing ,China.Computer Color Matching of Paints Based on Neural Networks[J].China Illuminating Engineering Journal,2005(Z1).
Authors:Yang Tao  Liao Ningfang and Wu WeiminNational Lab of Color Science and Engineering  Beijing Institute of Technology  Beijing  China
Affiliation:Yang Tao,Liao Ningfang and Wu WeiminNational Lab of Color Science and Engineering,Beijing Institute of Technology,Beijing 100081,China
Abstract:A method for paint color matching which is based on back-propagation (BP) neural networks is presented in this paper. The theory of the multi-layer BP neural networks model for the color recipe mapping is introduced, and the experiments for cold water paints are carried out. In the experiments, a set of color chips in the KEYTEC 1190-TC color atlas was used to discuss the feasibility of the model. In addition, BP neural networks were trained to help the realization of the mapping between CIEXYZ space and recipes space for data generalization. The current results show that the networks performed well in the recipes mapping.
Keywords:computer color matching  paints color  BP neural networks
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