期刊文献+

基于蚁群优化的就业人数时间序列预测方法

下载PDF
导出
摘要 文章提出了一种基于蚁群优化的就业人数时间序列预测方法,采用蚁群优化算法从给定时间序列中提取奇异吸引子拓扑结构的相关信息并利用所提取的信息进行预测。实验结果验证了方法的可行性及可用性。
机构地区 陕西理工学院
出处 《统计与决策》 CSSCI 北大核心 2013年第19期7-10,共4页 Statistics & Decision
基金 西安市2012年社会科学规划课题(12zx35)
  • 相关文献

参考文献7

  • 1Pan, Y., Jiang, J. C., Wang, R., Jiang, J. J. Predicting the Net Heat of Combustion of Organic Compounds from Molecular Structures Based on Ant Colony Optimization[J]. Journal of Loss Prevention in the Pro- cess Industries, 2011,24(1).
  • 2Toskari, M. D. Estimating the Net Electricity Energy Generation andDemand Using the Ant Colony Optimization Approaeh[J].Energy Poli- cy,2009,(37).
  • 3lnler, A. Improvement of Energy Demand Forecasts Using Swarm In- telligence: the Case of Turkey with Projections to 2025[J]. Energy Poli- cy, 2008 ,(36).
  • 4Wang, J., Chi, D., Wu, J., Lu, H. Chaotic Time Series Method Com- bined with Particle Swarm Optimization and Trend Adjustment for Electricity Demand Foreeasting[J].Expert Systems with Applications, 2011,(38).
  • 5Weng, S. S., Liu, Y. H. Mining Time Series Data for Segmentation by Using Ant Colony Optimization[J].European Journal of Operational Research, 2006,(173).
  • 6Wong, W. K., Xia, M., Chu, W. C. Adaptive Neural Network Model for Time-series Forecasting[J].European Journal of Operational Re- search, 2010,(207).
  • 7Zhao, L., Yang, Y. PSO-based Single Multiplicative Neuron Model for Time Series Prediction[J].Expert Systems with Applications,2009, (36).

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