标题:Generalized Regression Neural Network Cargo Flow Forecast Model in Logistics Park Based on Radial Basis Function
作者:Zhang, Qin; Liang, Yinkui; Yu, Wenxia; Zhang, Qiang
通讯作者:Zhang, Q
作者机构:[Zhang, Qin; Liang, Yinkui; Zhang, Qiang] Shandong Univ, Sch Mech Engn, Jinan 250061, Peoples R China.; [Liang, Yinkui; Zhang, Qiang] Shadong Univ, 更多
会议名称:International Conference on Advanced Engineering Materials and Technology (AEMT2011)International Conference on Civil Engineering and Building Materials (CEBM)
会议日期:JUL 29-31, 2011;JUL 29-31, 2011
来源:APPLICATIONS OF ENGINEERING MATERIALS, PTS 1-4
出版年:2011
卷:287-290
页码:622-625
DOI:10.4028/www.scientific.net/AMR.287-290.622
关键词:cargo flow forecast; RBF; regression neural network; logistics park;; model
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.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-79961231645&doi=10.4028%2fwww.scientific.net%2fAMR.287-290.622&partnerID=40&md5=21997a51878547c526bf6c15f9181c91
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