{"title":"P-S转炉磁通添加的智能预测","authors":"G. Liu, Xu-bin Zhang, R. Hu","doi":"10.1109/ISA.2011.5873302","DOIUrl":null,"url":null,"abstract":"Base on the situation analysis of copper matte smelting in P-S converter in the slag stage, this paper use modern BP neural network algorithm to realize the intelligent prediction of optimal flux addition through C programming. The module which is proved by the neural network toolbox of MATLAB can meet the demand of practical application. And the algorithm training time is greatly shortened in engineering operation. This module achieves the auxiliary judgment of prediction for the flux addition amount.","PeriodicalId":128163,"journal":{"name":"2011 3rd International Workshop on Intelligent Systems and Applications","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Intelligent Prediction of Flux Addition of P-S Converter\",\"authors\":\"G. Liu, Xu-bin Zhang, R. Hu\",\"doi\":\"10.1109/ISA.2011.5873302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Base on the situation analysis of copper matte smelting in P-S converter in the slag stage, this paper use modern BP neural network algorithm to realize the intelligent prediction of optimal flux addition through C programming. The module which is proved by the neural network toolbox of MATLAB can meet the demand of practical application. And the algorithm training time is greatly shortened in engineering operation. This module achieves the auxiliary judgment of prediction for the flux addition amount.\",\"PeriodicalId\":128163,\"journal\":{\"name\":\"2011 3rd International Workshop on Intelligent Systems and Applications\",\"volume\":\"104 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 3rd International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISA.2011.5873302\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 3rd International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISA.2011.5873302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Intelligent Prediction of Flux Addition of P-S Converter
Base on the situation analysis of copper matte smelting in P-S converter in the slag stage, this paper use modern BP neural network algorithm to realize the intelligent prediction of optimal flux addition through C programming. The module which is proved by the neural network toolbox of MATLAB can meet the demand of practical application. And the algorithm training time is greatly shortened in engineering operation. This module achieves the auxiliary judgment of prediction for the flux addition amount.
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