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一次指数平滑模型预测法及实际应用 被引量:4

Preditermination and Application of Linear Exponential Smoothing Model
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摘要 一次指数平滑模型预测法有易掌握、易操作、计算方法呈规律性等特点 ,在日常生活、生产及统计工作的预测研究中具有极其重要的作用 ,用Turboc等计算机语言设计成程序后 ,可广泛应用于研究工厂生产的发展趋势 。 This paper analyses computational principle,computational method and its Application smoothing model prophecy.At the sametime,it points out that this method can be grasped and operated easily.After this method is turned into the program by using computer languages such as Turbo C,to use it may study the intendency of productive development and prophecy.This paper is of better theoretic and social values.
作者 刘干中
出处 《广东广播电视大学学报》 2001年第3期83-86,共4页 Journal of Guangdong Radio & Television University
关键词 一次指数平滑模型预测法 数理统计 初始值 递推关系式 linear exponential smoothing model,principle,application.
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  • 2Niels Agatz Demand Management in E-Fullillment, Amsterdam, 2009.
  • 3John T. Mentzer, Mark A Moon, Dominique Estampe, Glen Margolis Demand Management, 2006.
  • 4George Lawrie, Best practices: Demand Management, 2007.
  • 5James D. Blocher, Vincent A. Mabert, Ashok K. Soni, Munirpallam A. Venkataramanan, Including an Introduction to Forecasting using the SAP R/3 System, 2004.
  • 6杨淑伶,陈沛愈,江欣怡.存货管理与需求预测之整合及其应用.明道管理学院,2005..
  • 7罗新星,吴种.供应链中牛鞭效应的定量分析与有效控制[J].中南大学,2006..
  • 8Ye Wei, Heidemann J, Estrin D. Medium Access Control with Coordinated Adaptive Sleeping for Wireless Sensor Networks[J]. IEEE/ACM Trans. on Network, 2004, 12(3): 493-506.
  • 9van Dam T, Langendoen K. An Adaptive Energy-effcient MAC Protocol for Wireless Sensor Networks[C]//Proceedings of the 1st ACM Conference on Einbedded Networked Sensor Systems. Los Angeles, CA, USA: [s. n.], 2003-11.
  • 10Rhee I, Warrier A, Aia M, et al. Z-MAC: A Hybrid MAC for Wireless Sensor Networks[C]//Proc. of the 3rd ACM Conference on Embedded Networked Sensor Systems. [S. l.]: ACM Press, 2005-11.

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