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

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.

  Info
Periodical
Advanced Materials Research (Volumes 287-290)
Chapter
New Functional Materials
Edited by
Jinglong Bu, Pengcheng Wang, Liqun Ai, Xiaoming Sang, Yungang Li
Pages
622-625
DOI
10.4028/www.scientific.net/AMR.287-290.622
Citation
Q. Zhang, Y. K. Liang, W. X. Yu, Q. Zhang, "Generalized Regression Neural Network Cargo Flow Forecast Model in Logistics Park Based on Radial Basis Function", Advanced Materials Research, Vols. 287-290, pp. 622-625, 2011
Online since
July 2011
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Price
$32.00
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