CSCD-GRNN模型在城市配送资源整合水平评价中的应用——以北京市为例

发布时间：2018-04-22 19:55

  本文选题：配送资源整合 + 人工神经网络　； 参考：《中国流通经济》2016年11期

【摘要】：通过建立城市配送资源整合水平的CSCD-GRNN评价模型,并基于复合系统协调度模型和广义回归神经网络方法,可对城市配送资源整合水平的评价开展研究。该模型采用决策试验与实验评估方法对指标权重进行讨论,按照复合系统协调度模型的思路确定城市配送资源整合水平评价GRNN网络的输出值,为全面客观地评估城市配送资源整合水平提供合理的方法。同时,以该模型对北京市2005—2014年期间的城市配送资源整合水平情况进行评价,验证了该模型的有效性。
[Abstract]:By establishing the CSCD-GRNN evaluation model of the integration level of urban distribution resources, and based on the complex system coordination degree model and the generalized regression neural network method, the evaluation of the integration level of urban distribution resources can be studied. The model uses the decision-making test and the experimental evaluation method to discuss the index weight, and according to the coordination degree of the compound system. The model is used to determine the output value of GRNN network to evaluate the integration level of urban distribution resources, and to provide a reasonable method for evaluating the integration level of urban distribution resources comprehensively and objectively. At the same time, the model is used to evaluate the level of urban distribution resources integration during the period of 2005 to 2014 in Beijing, and the validity of the model is verified.

【作者单位】： 北京物资学院物流学院;
【基金】：北京市教育委员会社会科学计划面上项目“基于自组织理论的北京市配送系统演化机制与系统构建研究”(SM201410037006)
【分类号】：F259.2
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本文编号：1788676