...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >An Improved Prediction Model Combining Inverse Exponential Smoothing and Markov Chain
【24h】

An Improved Prediction Model Combining Inverse Exponential Smoothing and Markov Chain

机译：改进的预测模型结合逆指数平滑和马尔可夫链

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

On the basis of the triple exponential smoothing prediction model, this paper introduces the reverse prediction idea and establishes the reverse triple exponential smoothing model by setting parameters such as threshold value and iteration times and reasonably correcting its initial value. This method can effectively reduce the error of early prediction value. At the same time, aiming at the problem that the predicting advantage of the reverse triple exponential smoothing model weakens in the later period, Markov theory is introduced to correct its error value, and an improved prediction model combining inverse exponential smoothing and Markov chain is further established. The improved model combines the advantages of index model trend prediction and Markov fluctuation prediction, and the prediction accuracy and stability of the model are significantly improved through case tests.
机译：在三重指数平滑预测模型的基础上，本文介绍了反向预测思想，并通过设置阈值和迭代时间的参数以及合理地校正其初始值来建立反向三重指数平滑模型。该方法可以有效地降低早期预测值的误差。同时，旨在解决反向三指数平滑模型的预测优势在后期削弱的情况下，引入马尔可夫理论以纠正其误差值，并进一步结合逆指数平滑和马尔可夫链的改进的预测模型已确立的。改进的模型结合了索引模型趋势预测和马尔可夫波动预测的优点，并且通过案例测试显着改善了模型的预测精度和稳定性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号