{"title":"武汉市人口预测模型的比较研究","authors":"Ping Hu, Shunkang Yan","doi":"10.1109/CESCE.2010.273","DOIUrl":null,"url":null,"abstract":"This paper uses linear prediction model, the natural growth model and the exponential growth model to fitted Wuhan population quantity from 1978 to 2004, and then according to the determine corresponding parameters, predicted the population quantity from 2005 to 2007 and compared, the conclusion is that the results of natural growth model and the exponential growth model are better.","PeriodicalId":6371,"journal":{"name":"2010 International Conference on Challenges in Environmental Science and Computer Engineering","volume":"35 1","pages":"22-25"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Comparative Study of Wuhan Population Prediction Models\",\"authors\":\"Ping Hu, Shunkang Yan\",\"doi\":\"10.1109/CESCE.2010.273\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper uses linear prediction model, the natural growth model and the exponential growth model to fitted Wuhan population quantity from 1978 to 2004, and then according to the determine corresponding parameters, predicted the population quantity from 2005 to 2007 and compared, the conclusion is that the results of natural growth model and the exponential growth model are better.\",\"PeriodicalId\":6371,\"journal\":{\"name\":\"2010 International Conference on Challenges in Environmental Science and Computer Engineering\",\"volume\":\"35 1\",\"pages\":\"22-25\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Challenges in Environmental Science and Computer Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CESCE.2010.273\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Challenges in Environmental Science and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CESCE.2010.273","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Comparative Study of Wuhan Population Prediction Models
This paper uses linear prediction model, the natural growth model and the exponential growth model to fitted Wuhan population quantity from 1978 to 2004, and then according to the determine corresponding parameters, predicted the population quantity from 2005 to 2007 and compared, the conclusion is that the results of natural growth model and the exponential growth model are better.