{"title":"基于灰色预测模型的广西科技人才需求预测研究","authors":"Feng Wei, Yaqi Wang","doi":"10.2991/ICFIED-19.2019.59","DOIUrl":null,"url":null,"abstract":"Scientific and technological talents play a leading and supporting role in the economic transformation and development. The prediction of scientific and technological talents is the scientific basis of formulating correct talent policies. In this paper, the gray GM (1,1) model is used to analyze the number of scientific and technological talents for Guangxi over the years, and the GM (1,1) prediction model is established. The results of statistical test and error analysis show that the model has high precision, and the model are used to predict the future ten years of Guangxi Science and Technology. The number of talents.","PeriodicalId":402406,"journal":{"name":"Proceedings of the 2019 4th International Conference on Financial Innovation and Economic Development (ICFIED 2019)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Forecasting Demand of Science and Technology Talents in Guangxi Based on Grey Prediction Model\",\"authors\":\"Feng Wei, Yaqi Wang\",\"doi\":\"10.2991/ICFIED-19.2019.59\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Scientific and technological talents play a leading and supporting role in the economic transformation and development. The prediction of scientific and technological talents is the scientific basis of formulating correct talent policies. In this paper, the gray GM (1,1) model is used to analyze the number of scientific and technological talents for Guangxi over the years, and the GM (1,1) prediction model is established. The results of statistical test and error analysis show that the model has high precision, and the model are used to predict the future ten years of Guangxi Science and Technology. The number of talents.\",\"PeriodicalId\":402406,\"journal\":{\"name\":\"Proceedings of the 2019 4th International Conference on Financial Innovation and Economic Development (ICFIED 2019)\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 4th International Conference on Financial Innovation and Economic Development (ICFIED 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/ICFIED-19.2019.59\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 4th International Conference on Financial Innovation and Economic Development (ICFIED 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/ICFIED-19.2019.59","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Forecasting Demand of Science and Technology Talents in Guangxi Based on Grey Prediction Model
Scientific and technological talents play a leading and supporting role in the economic transformation and development. The prediction of scientific and technological talents is the scientific basis of formulating correct talent policies. In this paper, the gray GM (1,1) model is used to analyze the number of scientific and technological talents for Guangxi over the years, and the GM (1,1) prediction model is established. The results of statistical test and error analysis show that the model has high precision, and the model are used to predict the future ten years of Guangxi Science and Technology. The number of talents.
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