Title :
Study on Logistics Center Location Judgment Based on Artificial Neural Network
Author :
Hua, Jiang ; Qi-hong, Liang
Author_Institution :
Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan
Abstract :
Logistics center location influenced by various indictors is crucial to logistics planning. According to 21 evaluation index, this paper established the reliable artificial neural network mode and made decision research on logistics center location. The result of the example showed that compared with multi-class fuzzy comprehensive evaluation, artificial neural network model possesses the characteristics such as quantity analysis and accuracy etc, and is suitable for logistics center location.
Keywords :
fuzzy set theory; logistics data processing; neural nets; artificial neural network; logistics center location judgment; logistics planning; multi-class fuzzy comprehensive evaluation; quantity analysis; Artificial neural networks; Computer science; Computer science education; Demand forecasting; Economic forecasting; Educational technology; Environmental economics; Industrial economics; Logistics; Technology management; artificial neural network; evaluation index system; logistics center location;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.86