Title :
The application of logistics center location based on fuzzy BP neural network
Author_Institution :
Sch. of Bus., Jiujiang Univ., Jiujiang, China
Abstract :
Logistics center as a node plays an important role in the logistics system. This paper first introduces related methods of logistics center location, indicating the deficiency of these methods, then propose the method of logistics center location based on fuzzy neural network. The paper discusses the impact factors of logistics center location, and then analyzes the problem of logistics center location by the principle of fuzzy BP neural network and numerical example. The results are matched with the actual situation.
Keywords :
backpropagation; fuzzy neural nets; logistics data processing; numerical analysis; backpropagation; fuzzy BP neural network; impact factors; logistics center location; numerical example; Educational institutions; Fuzzy neural networks; Indexes; Logistics; Neural networks; Neurons; Training; evaluation; fuzzy bp neural netwok; location; logistics center;
Conference_Titel :
Service Systems and Service Management (ICSSSM), 2012 9th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-2024-6
DOI :
10.1109/ICSSSM.2012.6252233