ANN Forecast Algorithmic Model for Port Logistic Demand Research

Shou Wen Ji; Tang Kui Li; Guang Ping Chen; Gang Su; Qin Chuan Zhang

doi:10.4028/www.scientific.net/AMM.744-746.1869

Paper Titles

The Research of Ponded Water Road Traffic Emergency Management Based on Internet of Things
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An Ensemble Model of Short-Term Traffic Flow Forecasting on Freeway
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Quantitative Evaluation for Road-Transport Industry Development Mode Transformation
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Study on the Control of Traffic Congestion Based on Hierarchical Road Capacity
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ANN Forecast Algorithmic Model for Port Logistic Demand Research
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E-Commerce Logistics Distribution Mode Analysis and Decision
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Selection and Evaluation of Railway Freight Third-Party-Logistics Based on F-AHP Method
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Study of the 3PL Network Planning Layout in a Province Based on Quick Response
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Study on Location Selection of FMCG Logistics Centers Based on Fuzzy MCDM Model
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 744-746ANN Forecast Algorithmic Model for Port Logistic...

ANN Forecast Algorithmic Model for Port Logistic Demand Research

Abstract:

Port logistics demand is the basis and foundation of port logistics park planning and construction of the port city. Therefore, it has very important practical significance to research the port logistics demand. By input data preprocessing, determine the structure of the neural network to construct reasonable prediction model of neural network, can make a good prediction of the port logistics demand influenced by many factors, to provide the reference for the port planning and decision making.