{"title":"NOx Prediction Method Based on Deep Extreme Learning Machine","authors":"Ying Li, Fanjun Li","doi":"10.1109/ICCIA.2018.00025","DOIUrl":null,"url":null,"abstract":"Real-time prediction of NOx is important for the control of NOx emission from a coal-fired power plant. This paper presents a NOx prediction method based on deep extreme learning machine. First, an improved deep extreme learning machine is proposed. Then, a NOx prediction model is designed based on the proposed method. Finally, the model is evaluated by using the actual data. Simulations results show that the proposed method is effective.","PeriodicalId":297098,"journal":{"name":"2018 3rd International Conference on Computational Intelligence and Applications (ICCIA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 3rd International Conference on Computational Intelligence and Applications (ICCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIA.2018.00025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Real-time prediction of NOx is important for the control of NOx emission from a coal-fired power plant. This paper presents a NOx prediction method based on deep extreme learning machine. First, an improved deep extreme learning machine is proposed. Then, a NOx prediction model is designed based on the proposed method. Finally, the model is evaluated by using the actual data. Simulations results show that the proposed method is effective.
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