{"title":"基于反向传播神经网络的pwm控制LCD颜色测量系统","authors":"J. Kuo, Xian-Lin Liu","doi":"10.1109/PEDS.2007.4487918","DOIUrl":null,"url":null,"abstract":"This paper will develop a color measurement system that can describe the relation between device-dependent color space and device-independent color space. From the color theory, the relation might have some nonlinear phenomena. The nonlinear relation can be described by using the neural network with learning process. The back propagation algorithm is used for the learning process. The output of the neural network will provide color coordinate transformation. Therefore, the color chromaticity of the LCD can then be determined.","PeriodicalId":166704,"journal":{"name":"2007 7th International Conference on Power Electronics and Drive Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Color Measurement System of PWM-Controlled LCD by Using Back-Propagation Neural Network\",\"authors\":\"J. Kuo, Xian-Lin Liu\",\"doi\":\"10.1109/PEDS.2007.4487918\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper will develop a color measurement system that can describe the relation between device-dependent color space and device-independent color space. From the color theory, the relation might have some nonlinear phenomena. The nonlinear relation can be described by using the neural network with learning process. The back propagation algorithm is used for the learning process. The output of the neural network will provide color coordinate transformation. Therefore, the color chromaticity of the LCD can then be determined.\",\"PeriodicalId\":166704,\"journal\":{\"name\":\"2007 7th International Conference on Power Electronics and Drive Systems\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 7th International Conference on Power Electronics and Drive Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PEDS.2007.4487918\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 7th International Conference on Power Electronics and Drive Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEDS.2007.4487918","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Color Measurement System of PWM-Controlled LCD by Using Back-Propagation Neural Network
This paper will develop a color measurement system that can describe the relation between device-dependent color space and device-independent color space. From the color theory, the relation might have some nonlinear phenomena. The nonlinear relation can be described by using the neural network with learning process. The back propagation algorithm is used for the learning process. The output of the neural network will provide color coordinate transformation. Therefore, the color chromaticity of the LCD can then be determined.