{"title":"改进的BP神经网络算法及其在活性染料染色K/S值预测中的应用","authors":"HuiYu Jiang, Min Dong, Xiangpeng Li, Feng Yang","doi":"10.1109/GrC.2007.25","DOIUrl":null,"url":null,"abstract":"Traditional algorithm of BP neural network has been mended and an improved predictive model using L-M method has been carried out to calculate the K/S values in dyeing with reactive dyes in this article. The results showed L-M method is superior in the prediction by comparing traditional and improved algorithm. Shorter predictive time and higher predictive veracity were obtained in the later.","PeriodicalId":259430,"journal":{"name":"2007 IEEE International Conference on Granular Computing (GRC 2007)","volume":"199 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Improved Algorithm of BP Neural Network and its Application to Prediction of K/S Value in Dyeing with Reactive Dyes\",\"authors\":\"HuiYu Jiang, Min Dong, Xiangpeng Li, Feng Yang\",\"doi\":\"10.1109/GrC.2007.25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional algorithm of BP neural network has been mended and an improved predictive model using L-M method has been carried out to calculate the K/S values in dyeing with reactive dyes in this article. The results showed L-M method is superior in the prediction by comparing traditional and improved algorithm. Shorter predictive time and higher predictive veracity were obtained in the later.\",\"PeriodicalId\":259430,\"journal\":{\"name\":\"2007 IEEE International Conference on Granular Computing (GRC 2007)\",\"volume\":\"199 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE International Conference on Granular Computing (GRC 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GrC.2007.25\",\"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 IEEE International Conference on Granular Computing (GRC 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GrC.2007.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved Algorithm of BP Neural Network and its Application to Prediction of K/S Value in Dyeing with Reactive Dyes
Traditional algorithm of BP neural network has been mended and an improved predictive model using L-M method has been carried out to calculate the K/S values in dyeing with reactive dyes in this article. The results showed L-M method is superior in the prediction by comparing traditional and improved algorithm. Shorter predictive time and higher predictive veracity were obtained in the later.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
