Grey RBF Neural Network Forecasting on LV under the View of Government Responsibility
2012 ◽
Vol 452-453
◽
pp. 700-704
Keyword(s):
At present, the domestic research on the scale of macroscopic logistics has yet belonged to the blankness, therefore, this research tries using LV in circulation and LV in stock to measure the logistics volume and forecasting it in a long period. In order to overcome the phenomenon of “floating upward” in long-term period, this paper establish the improved Grey RBF to forecast the LV next 5-10 year in Jilin province of China. The results show that the increased circulation of goods is the main reason leading to increased logistics volume, and the simulation also shows that the improved gray RBF neural network model is a good method for the government to establish the logistics development policy.
Keyword(s):
2011 ◽
Vol 81
(1)
◽
pp. 74-83
◽
2020 ◽
Vol 17
(3)
◽
pp. 1289
2019 ◽
Vol 24
(2)
◽
pp. 217-230
2006 ◽
pp. 1046-1054