基于RBF神经网络的三基色配比研究

色温和显色指数是新型LED光源生产和评价的重要指标,本文基于RGB—LED光源,通过RBF神经网络建立三基色配比、色温和显色指数之间的预测网络模型,经过Matlab仿真验证该模型,并分析结果,得出该模型很好的表现了三基色到色温、显色指数的非线性关系,其较高的预测精度对满足应用需求具有很强的实际意义。

The Research of Ratio of Three Primary Colors Based on RBF Neural Network

The color temperature and color rendering index is an important indicator of the production and evaluation of new LED light source, so that both parameters are acted as the outputs by the RBF neural network based on the RGB-LED light source when the ratio of the three primary colors are inputs.. And the network model is proved by Matlab simulation and the results obtained is shown a non-linear relationship among the three primary colors , the color temperature and the color rendering index. The higher prediction accuracy to meet the demand has a great practical significance.