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Hierarchical evaluation algorithm of logistics carrying capacity based on transfer learning in multimedia environment

机译:多媒体环境下基于转移学习的物流承载力层次评价算法

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In order to measure and enhance the carrying capacity of regional logistics system scientifically and give full play to the efficiency of regional logistics system, based on the perspective of sustainable development, this paper analyzes the network topology structure of regional logistics system. Combining the component elements and operation flow of regional logistics system, we take link line, operation capacity and energy environment as constraint conditions, and construct the measurement model of regional logistics system carrying capacity. The integrated management of logistics requires systematic integration of various modes of transportation, such as highway transportation, water transportation, rail transportation and air transportation, as well as the network of key nodes and their network. Therefore, we need to solve the different transportation models and the nodal carrying capacity calculation methods that constitute the logistics system. Therefore, this paper analyzes the connotation, various transportation mode and port capacity related to the concept of research ideas, research tools and methods, the related calculation formula, traffic flow as the main line to construct different modes of transport carrying capacity between the inner link, and the bearing capacity formula of each transport mode into a unified unit, the transportation mode of coordinated development that is the basis of the overall optimization and decision of logistics system.
机译:为了科学地衡量和提高区域物流系统的承载能力,充分发挥区域物流系统的效率,从可持续发展的角度出发,分析了区域物流系统的网络拓扑结构。结合区域物流系统的组成要素和运行流程,以联系线,运行能力和能源环境为约束条件,构建区域物流系统承载力的测度模型。物流的综合管理要求系统集成各种运输方式,例如公路运输,水路运输,铁路运输和航空运输,以及关键节点网络及其网络。因此,我们需要解决构成物流系统的不同运输模型和节点承载能力计算方法。因此,本文分析了与研究思路,研究工具和方法的概念有关的内涵,各种运输方式和港口容量,相关的计算公式,交通流量为主要内容,以构建内在联系之间的不同运输承载方式。 ,并将每种运输方式的承载力公式统一为一个单位,协调发展的运输方式是物流系统整体优化和决策的基础。

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