Title :
Risk Evaluation of Warehouse Receipt Pledging Business Based on SOM Neural Network
Author :
Jiajuan, Chen ; Xiaoqi, Cai ; Fang, Xie
Author_Institution :
Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing, China
Abstract :
The 20 indicators of warehouse receipt pledging business risk evaluation is made, and the risk is divided into 9 grades, the risk grade evaluation model is made by using self-organizing feature map artificial neural network. The actual business data are used to train and test the model.
Keywords :
business data processing; logistics; risk analysis; self-organising feature maps; SOM neural network; artificial neural network; risk evaluation; risk grade evaluation model; self-organizing feature map; warehouse receipt pledging business; Artificial neural networks; Business; Data models; Neurons; Safety; Training; Business Risk Evaluation; Pledging; Warehouse Receipt; Words- SOM;
Conference_Titel :
Information Engineering (ICIE), 2010 WASE International Conference on
Conference_Location :
Beidaihe, Hebei
Print_ISBN :
978-1-4244-7506-3
Electronic_ISBN :
978-1-4244-7507-0
DOI :
10.1109/ICIE.2010.86
