Q. Si, Mingchang Li, Guangyu Zhang, S. Liang, Zhaochen Sun
{"title":"基于数据驱动神经网络的综合承载力评价方法研究","authors":"Q. Si, Mingchang Li, Guangyu Zhang, S. Liang, Zhaochen Sun","doi":"10.1109/ICNC.2012.6234683","DOIUrl":null,"url":null,"abstract":"With the development of the exploitation in Tianjin coastal District, study on carrying capacity and its dynamic changes are the key methods for improving the scientific management level and for realizing sustainable development. This paper presents a data-driven neural network method to establish comprehensive carrying capacity assessment model by the nonlinear relationship between impact factors and level of carrying capacity. The calibration results work well in Tianjin Binhai District.","PeriodicalId":87274,"journal":{"name":"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications","volume":"10 1","pages":"458-460"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on comprehensive carrying capacity assessment method with data-driven neural network\",\"authors\":\"Q. Si, Mingchang Li, Guangyu Zhang, S. Liang, Zhaochen Sun\",\"doi\":\"10.1109/ICNC.2012.6234683\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of the exploitation in Tianjin coastal District, study on carrying capacity and its dynamic changes are the key methods for improving the scientific management level and for realizing sustainable development. This paper presents a data-driven neural network method to establish comprehensive carrying capacity assessment model by the nonlinear relationship between impact factors and level of carrying capacity. The calibration results work well in Tianjin Binhai District.\",\"PeriodicalId\":87274,\"journal\":{\"name\":\"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications\",\"volume\":\"10 1\",\"pages\":\"458-460\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNC.2012.6234683\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNC.2012.6234683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on comprehensive carrying capacity assessment method with data-driven neural network
With the development of the exploitation in Tianjin coastal District, study on carrying capacity and its dynamic changes are the key methods for improving the scientific management level and for realizing sustainable development. This paper presents a data-driven neural network method to establish comprehensive carrying capacity assessment model by the nonlinear relationship between impact factors and level of carrying capacity. The calibration results work well in Tianjin Binhai District.