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

Qin Zhang; Yin Kui Liang; Wen Xia Yu; Qiang Zhang

doi:10.4028/www.scientific.net/AMR.287-290.622

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 287-290Generalized Regression Neural Network Cargo Flow...

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.

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Periodical:

Advanced Materials Research (Volumes 287-290)

Pages:

622-625

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.287-290.622

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Online since:

July 2011

Authors:

Qin Zhang, Yin Kui Liang, Wen Xia Yu, Qiang Zhang

Keywords:

Cargo Flow Forecast, Logistics Park, Model, RBF, Regression Neural Network

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