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GM(1,1) 灰色预测模型

GM(1,1) 是灰色系统理论的核心预测模型,由邓聚龙于 1982 年提出,旨在从极少量的观测值和不完整信息中进行预测——这种情况下的经典时间序列模型(如 ARIMA)需要更多数据。它通过累加原始序列来揭示隐藏的指数趋势,拟合一个一阶灰色微分方程,并预测未来值,因此在数据记录较短的工程、能源和管理预测领域广受欢迎。

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来源

  1. Deng, J. L. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288–294. DOI: 10.1016/S0167-6911(82)80025-X
  2. Liu, S., & Lin, Y. (2010). Grey Systems: Theory and Applications. Springer. ISBN: 978-3-642-13937-6

如何引用本页

ScholarGate. (2026, June 2). Grey Model GM(1,1) Forecasting. ScholarGate. https://scholargate.app/zh/soft-computing/grey-model-gm11

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被引用于

ScholarGateGM(1,1) Grey Forecasting (Grey Model GM(1,1) Forecasting). 于 2026-06-15 检索自 https://scholargate.app/zh/soft-computing/grey-model-gm11 · 数据集: https://doi.org/10.5281/zenodo.20539026