Generalized Regression Neural Network Cargo Flow Forecast Model in Logistics Park Based on Radial Basis Function

被引：0
|
作者：
Zhang, Qin [1 ]
Liang, Yinkui [1 ,2 ]
Yu, Wenxia [3 ]
Zhang, Qiang [1 ,2 ]
机构：
[1] Shandong Univ, Sch Mech Engn, Jinan 250061, Peoples R China
[2] Shadong Univ, Sch Mech Engn, Jinan 250061, Peoples R China
[3] Shandong Labor Vocat Techn Coll, Jinan 250061, Peoples R China
来源：
APPLICATIONS OF ENGINEERING MATERIALS, PTS 1-4 | 2011年 / 287-290卷
关键词：
cargo flow forecast; RBF; regression neural network; logistics park; model;
D O I：
10.4028/www.scientific.net/AMR.287-290.622
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
According to cargo flow, the strength of the logistics supply need could be predicted. Improving predicting accuracy can provide a scientific basis for the construction and operation on the logistics park. Generalized regression neural network model of logistics park is introduced under the impact of supply chain management, and designing steps about the prediction model is given. And the prediction model predicts Jinan Gaijiagou Logistics Park well.
引用
收藏
页码：622 / +
页数：2
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