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Neural Network Model for the Risk Prediction in Cold Chain Logistics
TLDR
This study investigates environment sensitive and perishable products (ESPPs) logistics problem, which is called cold chain logistics problem (CCLs). Expand
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The Construction of Economic Model Evaluation System based on the Economic Model of Resource Platform
TLDR
This article gives researches on how to construct and use the economic model to evaluation system by using AHP from management and development perspective. Expand
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A new evolution model for B2C e-commerce market
TLDR
In order to explain the formation of the business to customer ecommerce market structure, we introduce two concepts—market trading volume and user penetration into the analytical framework for e-commerce market. Expand
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A New User Segmentation Model for E-Government
TLDR
E-government in China has entered the development stage of personalized services, and user segmentation has become an urgent demand. Expand
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A Study of Short-term Effect Measurement for Information Publication in Government Microblog
TLDR
We make a quantitative empirical research using correlation analysis and regression analysis and construct a quantitative model to measure the short-term effect of government microblog information publication. Expand
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A New Evolution Mechanism Model for B2B E-Commerce Network
TLDR
We propose a network with several layers description of B2B e-commerce market. Expand
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Evolution Mechanism of the Ecological Dissemination System of Internet Public Opinion
Using the theories and methods of ecology and system dynamics, we analyzed the evolution process of the Ecological Dissemination System of Internet Public Opinion, and then studied its evolutionExpand
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An Interval Knowledge Based Forecasting Paradigm for Container Throughput Prediction
TLDR
This paper proposes an interval knowledge based forecasting paradigm (IKBFparadigm) for container throughput prediction. Expand
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Forecasting container throughput with big data using a partially combined framework
This study proposes a partially-combined forecasting framework for container throughput based on big data composed of structured historical data and unstructured data. Under the proposed framework,Expand
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Does Interval Knowledge Sharpen Forecasting Models? Evidence from China's Typical Ports
TLDR
This paper proposes a novel forecasting paradigm incorporating interval knowledge generated by a Delphi-based expert system into the SARIMA and SVR models for container throughput forecasting. Expand
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