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Research On The BP Neural Network Evaluation Model Of Synergistic Effect Of Container Intermodal Transportation

Posted on:2014-01-06Degree:MasterType:Thesis
Country:ChinaCandidate:B ZhangFull Text:PDF
GTID:2232330398952048Subject:Logistics Engineering
Abstract/Summary:PDF Full Text Request
Container intermodal transport is a new development direction of modern transport, and an important part of modern logistics, and play an important role in the national economy. Container multimodal transport involves multiple nodes, the coordination between each node directly affect the development of container multimodal transport; So in recent years, many scholars begin to pay close attention to and do the research on the container multimodal transport coordination ability. This article studied the synergistic effect of container multimodal transport from the standard.First this paper introduces the research background and significance of thesis, from the information system, the Angle of optimization, the standard and evaluation method of container multimodal transport of collaborative research status were summarized. By consulting related literature information, the container multimodal transport, synergistic effect and related concepts defined. To analysis the influencing factors of container multimodal transport coordination, this paper first analyzes the container multimodal transport system, from the Angle of the system to find out the influencing factors of collaborative ability. Through to the logistics standard collection, identify and above factors related standards. From the identified standard, to find a representative standard build influence the synergistic effect of container intermodal transportation, index system. Including operating synergy factor, information factor, organization staff synergy factors and management factors together10four level indicators and secondary indicators., in turn, use the BP neural network theory, in synergy evaluation index system of container intermodal transportation, on the basis of building based on the standard container multimodal transport coordination ability of the BP neural network evaluation model. And then through the survey data of BP network was trained, found that the establishment of the model is feasible, for later the synergistic effect of container intermodal transportation, and logistics standardization research provides a broader idea.
Keywords/Search Tags:Container multimodal transport, Synergistic effect, Logisticsstandards, BP neural network
PDF Full Text Request
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