| 基于压缩粒子群的弹性系数-投入产出物流需求预测模型 |
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| 引用本文： | 龙琼,张蕾.基于压缩粒子群的弹性系数-投入产出物流需求预测模型[J].湖南城市学院学报(自然科学版),2012(4):21-24. |
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| 作者姓名： | 龙琼 张蕾 |
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| 作者单位： | 湖南城市学院土木工程学院 |
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| 基金项目： | 湖南省教育厅科研基金资助项目(09C213) |
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| 摘 要： | 面向物流需求的预测问题，提出了一种基于压缩粒子群理论的弹性系数一投入产出物流需求预测模型．首先，引入弹性系数一投入产出模型，构建国民经济发展对物流需求的驱动模型；然后，基于压缩粒子群理论对物流需求的弹性系数进行优化预测，最终得到对未来物流需求的优化预测；最后通过应用算例验证了该模型的正确性和可靠性．
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| 关 键 词： | 物流需求预测 压缩粒子群 弹性系数 投入产出模型 |
Elastic Coefficient and Input-output Model for Logistics Demand Forecasting Based on Compressed Particle Swarm Theory |
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| LONG Qiong,ZHANG Lei.Elastic Coefficient and Input-output Model for Logistics Demand Forecasting Based on Compressed Particle Swarm Theory[J].Journal of Hunan City University:Natural Science,2012(4):21-24. |
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| Authors: | LONG Qiong ZHANG Lei |
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| Institution: | (College of Civil Engineering,Hunan City University,Yiyang,Hunan 413000,China) |
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| Abstract: | Oriented to the logistics demand forecasting, this paper presents an elastic coefficient and input-output model for logistics demand forecasting. Firstly, the logistics demand drive model own to the national economy development is constructed by the elastic coefficient of input-output model introduced. Then, the logistics demand elasticity coefficient is optimally predicted based on the compressed particle swarm theory, as a result, the optimal prediction value of logistics demand in the future is obtained. Finally, the correctness and reliability of the forecasting model is verified by an application example. |
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| Keywords: | logistics demand forecasting compressed particle swarm elastic coefficient input and output model |
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