本文選題：配送資源整合 + 人工神經(jīng)網(wǎng)絡��； 參考：《中國流通經(jīng)濟》2016年11期

【摘要】：通過建立城市配送資源整合水平的CSCD-GRNN評價模型,并基于復合系統(tǒng)協(xié)調(diào)度模型和廣義回歸神經(jīng)網(wǎng)絡方法,可對城市配送資源整合水平的評價開展研究。該模型采用決策試驗與實驗評估方法對指標權重進行討論,按照復合系統(tǒng)協(xié)調(diào)度模型的思路確定城市配送資源整合水平評價GRNN網(wǎng)絡的輸出值,為全面客觀地評估城市配送資源整合水平提供合理的方法。同時,以該模型對北京市2005—2014年期間的城市配送資源整合水平情況進行評價,驗證了該模型的有效性。
[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.

【作者單位】： 北京物資學院物流學院;
【基金】：北京市教育委員會社會科學計劃面上項目“基于自組織理論的北京市配送系統(tǒng)演化機制與系統(tǒng)構建研究”(SM201410037006)
【分類號】：F259.2
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本文編號：1788676