Research on Forecasting Demand of Science and Technology Talents in Guangxi Based on Grey Prediction Model

Feng Wei, Yaqi Wang
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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.
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基于灰色预测模型的广西科技人才需求预测研究
科技人才在经济转型发展中起着引领和支撑作用。科技人才预测是制定正确人才政策的科学依据。本文采用灰色GM(1,1)模型对广西历年科技人才数量进行分析,建立GM(1,1)预测模型。统计检验和误差分析结果表明,该模型具有较高的精度,并应用该模型对广西未来十年的科技发展进行了预测。人才的数量。
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