期刊文献+

基于马尔柯夫模型的高校师资结构预测 被引量:3

Prediction on teachers structure of university based on Markov model
下载PDF
导出
摘要 教师是高校的主体,良好师资队伍结构是高校可持续发展的基础和前提.为了促进高校师资结构的合理配置,以马尔柯夫模型原理为基础,研究了预测过程并详细说明各步的计算方法;对某高校未来5年的师资结果进行预测和分析.结果表明,该预测模型可以有效地提高预测精度,由于系统各种状态的相互转移概率经常发生变化,该方法更适用于短期预测. Teaching faculty is the mainstay of colleges and universities. Sound teaching staff structure is the foundation and prerequisite for sustainable development of colleges and universities. In order to promote the rational allocation of the teaching staff structure,the paper studied the forecasting process and made a detailed introduction of the calculation method of each step based on the principle of Markov model. Then it forecasted and analyzed the results of the college's teaching staff in the next five years. The results showed that the forecasting model may effectively improve the prediction accuracy. Because of the mutual transition probabilities of various system state change frequently,this method is more applicable for short-term prediction.
作者 高路
出处 《渤海大学学报(自然科学版)》 CAS 2016年第2期112-116,共5页 Journal of Bohai University:Natural Science Edition
基金 2015年辽宁省教育科学"十二五"规划一般项目(No:JG15DB034)
关键词 马尔柯夫模型 高校 师资结构 预测 Markov model university teachers structure prediction
  • 相关文献

参考文献13

  • 1XIE N M,YUAN C Q,YANG Y J.Forecasting China's energy demand and self-sufficiency rate by grey forecasting model and Markov model[J].International Journal of Electrical Power&Energy Systems,2015,66(3):1-8.
  • 2豆丁网.马尔柯夫预测法[EB/OL].[2015-7-10].http://www.docin.com/p-49100227.html.
  • 3赵海华.浅谈高校师资队伍建设的问题和对策[J].教育与职业,2014(36):61-63. 被引量:12
  • 4Holger Kmm,Ulrich Küsters.Forecasting zero-inflated price changes with a Markov switching mixture model for autoregressive and heteroscedastic time series[J].International Journal of Forecasting,2015,31(3):598-608.
  • 5百度文库.马尔柯夫预测[EB/OL].[2015-7-10].http://wenku.baidu.com/link?url=Q7l N_u Jd Gq YBh Eds LAOx6QVWI-cl5P-DRRT57X8Qz3Yrm7e Gdc Vyb YPglva4JL8G4uk Xxwy7et Fv4d C22R-Zfr7w Hx NQ8XM2G8Y0lh8d J5a.
  • 6樊国敬.基于马尔可夫模型的旅游目的地人数预测[J].统计与决策,2010,26(21):98-100. 被引量:7
  • 7SONG Z,JIANG Y,ZHANG Z J.Short-term wind speed forecasting with Markov-switching model[J].Applied Energy,2014,130(8):103-112.
  • 8CARPINONE A,GIORGIO M,LANGELLA R,et al.Markov chain modeling for very-short-term wind power forecasting[J].Electric Power Systems Research,2015,122(5):152-158.
  • 9魏国孝,李文华.基于马尔可夫模型的高校师资队伍预测方法[J].宁夏大学学报(自然科学版),2004,25(4):309-310. 被引量:13
  • 10Bruno Damásio,Joo Nicolau.Combining a regression model with a multivariate Markov chain in a forecasting problem[J].Statistics&Probability Letters,2014,90(7):108-113.

二级参考文献18

共引文献94

同被引文献15

引证文献3

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部