一种战场物资消耗自适应预测模型
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Research on A Self-Adaptive Forecast Model of Material Consumption in Battlefield
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    摘要:

    为解决战场物资消耗这一复杂非线性问题,在分析传统消耗预测方法的基础上,设计一套战场物资消耗 量的自适应预测模型,对卡尔曼滤波的自适应机制进行详细探讨,并通过算例对自适应预测模型进行检验。结果表 明:该模型能有效克服由于战场的不确定因素对物资消耗预测所带来的影响,在一定阈值范围内,控制预测值和实 际值的误差,实现对战场物资消耗量相对准确的预测。

    Abstract:

    To solve the complex non-linear problem of material consumption in battlefield, a new self-adaptive forecast model of material consumption in battlefield is established in this paper, based on the analysis of traditional forecasting method, and the self–adaptive mechanism based on Kalman filter is discussed in detail, which is tested by an instance. The result shows that the model can achieve a relatively accurate prediction by overcoming the impact of uncertainties in battlefield, and the error between predictive value and actual value can be controlled within a certain threshold.

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杜秋,苏喜生,高良,许子君.一种战场物资消耗自适应预测模型[J].,2011,30(10):20-22.

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  • 收稿日期:2013-01-28
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