Rural Logistics Demand Forecast Based on Gray Neural Network Model

DOI

10.2991/iwmecs-18.2018.34How to use a DOI?

Keywords

Gray neural network model, Rural logistics, Demand forecast.

Abstract

As an important part of rural economy, rural logistics plays an important role in people's daily life. In order to reflect the changing rule of rural logistics demand more accurately and comprehensively, it is necessary to introduce a scientific prediction model, that is, a gray neural network model. This paper analyzes the demand forecast of rural logistics based on gray neural network model and starts from the status quo of the basic demand of rural logistics. Then it discusses the principle of rural logistics demand forecast and the rural logistics demand forecast of the combined model, and then the demand of rural logistics based on gray neural network model is also simulated. Finally, the significance of rural logistics demand forecast based on gray neural network model is discussed.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhengyi Yang
PY  - 2018/04
DA  - 2018/04
TI  - Rural Logistics Demand Forecast Based on Gray Neural Network Model
BT  - Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
PB  - Atlantis Press
SP  - 152
EP  - 156
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-18.2018.34
DO  - 10.2991/iwmecs-18.2018.34
ID  - Yang2018/04
ER  -