{"title":"混合MLR-RNN方法在空气污染预报中的应用","authors":"Osama Basheer Hannon, Mariam Moneeb","doi":"10.33899/iqjoss.2019.164191","DOIUrl":null,"url":null,"abstract":"Air Quality Modeling gained great in atmospheric pollution its environment and human health. In our study, the relationship between (Particulate Matter PM 10 ) and other nine variables over three years is studied to applied the multiple linear regression models (MLR). The MLR model is the most common for studying like this multivariate case. The main problem for this type of data is the non linear style that has been referred by many researchers before. The recurrent neural network (RNN) is nonlinear","PeriodicalId":351789,"journal":{"name":"IRAQI JOURNAL OF STATISTICAL SCIENCES","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using the Hybrid MLR-RNN Approach for Air Pollution Forecasting\",\"authors\":\"Osama Basheer Hannon, Mariam Moneeb\",\"doi\":\"10.33899/iqjoss.2019.164191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Air Quality Modeling gained great in atmospheric pollution its environment and human health. In our study, the relationship between (Particulate Matter PM 10 ) and other nine variables over three years is studied to applied the multiple linear regression models (MLR). The MLR model is the most common for studying like this multivariate case. The main problem for this type of data is the non linear style that has been referred by many researchers before. The recurrent neural network (RNN) is nonlinear\",\"PeriodicalId\":351789,\"journal\":{\"name\":\"IRAQI JOURNAL OF STATISTICAL SCIENCES\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IRAQI JOURNAL OF STATISTICAL SCIENCES\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33899/iqjoss.2019.164191\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IRAQI JOURNAL OF STATISTICAL SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33899/iqjoss.2019.164191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using the Hybrid MLR-RNN Approach for Air Pollution Forecasting
Air Quality Modeling gained great in atmospheric pollution its environment and human health. In our study, the relationship between (Particulate Matter PM 10 ) and other nine variables over three years is studied to applied the multiple linear regression models (MLR). The MLR model is the most common for studying like this multivariate case. The main problem for this type of data is the non linear style that has been referred by many researchers before. The recurrent neural network (RNN) is nonlinear
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