摘要
结合历年辽宁省高校研究与试验投入统计数据,采用补充残差和加权平均的方法对传统的GM(1,1)模型进行改进,分析并预测辽宁省高校研发投入强度。通过预测结果,表明改进的GM(1,1)模型大幅提高了预测精度,给出辽宁省高校研究与试验投入强度的发展趋势。
Considering R&D investment data of I2aoning province university, this paper uses the supplementary residuals and weighted average method to improve the traditional GM(1,1) model, analyzes and forecasts R&D investment intensity. The prediction results show that improved GM(1,1) model greatly improves the accuracy of the predictions, and gives the development trend of strength.
出处
《价值工程》
2013年第9期232-233,共2页
Value Engineering
关键词
研究与开发
投入强度
高校
灰色预测模型
R&D(researeh and development)
investment intensity
colleges and universities
GM(1,1)