Title :
The PSO-BP-based forecast of logistics cost for coal enterprises
Author :
Shi, Yong-kui ; Shao, Jian-sheng
Author_Institution :
Resources & Environ. Eng. Inst., Shandong Univ. of Sci. & Technol., Qingdao, China
Abstract :
The forecast of logistics cost is the prerequisite and foundation for logistics cost management in coal enterprises. This paper has analyzed the logistics cost in coal enterprises and its influencing factors, using PSO-BP and BP network respectively to forecast the logistics cost in coal enterprises. As a result, it comes to a conclusion that the convergence speed and the predicted accuracy of PSO-BP network are obviously better than that of BP network.
Keywords :
backpropagation; coal; logistics; particle swarm optimisation; PSO-BP network; PSO-BP-based forecast; coal enterprise; logistics cost management; Logistics; Forecast; Logistics Cost; Neural network; PSO-BP network;
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6483-8
DOI :
10.1109/ICIEEM.2010.5646572
