Parameter Selection of Total Variation Model Based on BP Neural Network

2019 ◽  
Vol 08 (08) ◽  
pp. 1471-1477
Author(s):  
海广 魏
Keyword(s):  
Neural Network ◽  
Total Variation ◽  
Bp Neural Network ◽  
Parameter Selection ◽  
Model Based ◽  
Total Variation Model ◽  
Selection Of ◽  
Variation Model

A Novel Logistics Supplier Selection Model Based on BP

2011 ◽  
Vol 460-461 ◽  
pp. 735-740 ◽  
Author(s):  
Ji Qiu Li
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Supplier Selection ◽  
Selection Model ◽  
Self Organization ◽  
Model Based ◽  
Fuzzy Assessment ◽  
Method Of Evaluation ◽  
The Impact ◽  
Selection Of

Logistics supplier selection is a comprehensive appraisal influenced by many factors and the key is to choose a method of evaluation reasonably. In this paper, we use BP neural network, starting with the statistics of listed logistics supplier, to train weights of appraisement indexes in self-organization. This method overcomes the impact of the results by subjective factors that exist in the AHP and fuzzy assessment, leads evaluation results to be a relative objectivity and provides a more effective method for the selection of listed logistics supplier.

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