{"title":"基于ANFIS的中国能源消费与经济增长关系","authors":"Xingping Zhang, Yuling Mao","doi":"10.1109/IWISA.2009.5073198","DOIUrl":null,"url":null,"abstract":"This paper investigates the interrelationship between energy consumption and economic growth in multivariate frameworks through including variables of energy intensity, GDP growth, and industry share. We use the theory of Adaptive-Network-Based Fuzzy Inference System (ANFIS) to reveal the mechanism that the three variables exert the influence on the energy consumption. By training and simulating the data samples spans the period 1954-2004, an Adaptive-Network-Based Fuzzy Inference Model which indicates the relationship between the energy consumption and the three variables is obtained. Furthermore, we predict the energy consumption of 2005 and 2006 using the ANFIS, and the forecast results are precise to the real energy consumption. At last, the energy conservation policies are discussed in this paper.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"33 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"The Relationship Between Energy Consumption and Economic Growth in China Based on ANFIS\",\"authors\":\"Xingping Zhang, Yuling Mao\",\"doi\":\"10.1109/IWISA.2009.5073198\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the interrelationship between energy consumption and economic growth in multivariate frameworks through including variables of energy intensity, GDP growth, and industry share. We use the theory of Adaptive-Network-Based Fuzzy Inference System (ANFIS) to reveal the mechanism that the three variables exert the influence on the energy consumption. By training and simulating the data samples spans the period 1954-2004, an Adaptive-Network-Based Fuzzy Inference Model which indicates the relationship between the energy consumption and the three variables is obtained. Furthermore, we predict the energy consumption of 2005 and 2006 using the ANFIS, and the forecast results are precise to the real energy consumption. At last, the energy conservation policies are discussed in this paper.\",\"PeriodicalId\":6327,\"journal\":{\"name\":\"2009 International Workshop on Intelligent Systems and Applications\",\"volume\":\"33 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWISA.2009.5073198\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2009.5073198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Relationship Between Energy Consumption and Economic Growth in China Based on ANFIS
This paper investigates the interrelationship between energy consumption and economic growth in multivariate frameworks through including variables of energy intensity, GDP growth, and industry share. We use the theory of Adaptive-Network-Based Fuzzy Inference System (ANFIS) to reveal the mechanism that the three variables exert the influence on the energy consumption. By training and simulating the data samples spans the period 1954-2004, an Adaptive-Network-Based Fuzzy Inference Model which indicates the relationship between the energy consumption and the three variables is obtained. Furthermore, we predict the energy consumption of 2005 and 2006 using the ANFIS, and the forecast results are precise to the real energy consumption. At last, the energy conservation policies are discussed in this paper.