Method for Forecasting the Logistics Demand of Shenyang Economic Zone Based on BP Neural Network

被引：0
|
作者：
Zhou, Xiao-ye [1 ]
Wang, Geng [1 ]
Liu, Nan [1 ]
机构：
[1] Shenliao Western Rd No 111, Shenyang, Peoples R China
来源：
ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 2 | 2011年 / 105卷
关键词：
Logistics Demand Forecasting; The BP Neural Network; Shenyang Economic Zone;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Through analyzing the economic factors that affect regional logistics demand, this paper chooses the indictor for determining the logistic demand, a BP neural network model of logistics forecasting is established. Then this paper researches the forecast of Shenyang Economic Zone logistics demand, to ensure the development of economic and logistics in Shenyang Economic Zone more coordinated development, and the purpose to provide guidance for the planning, design and development of Shenyang Economic Zone logistics system.
引用
收藏
页码：687 / +
页数：3
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