Title :
Listed logistics company performance prediction by BP neural network
Author :
Shi, Cheng-dong ; Bian, Dun-xin
Author_Institution :
Sch. of Electr. & Electron. Eng., Shandong Univ. of Technol., Zibo, China
Abstract :
In order to forecast the performance of listed logistics company scientifically, and by using of adventage of BP neural network with self-organizing, self-learning, anti-interference, etc., a performance prediction model of listed logistics company was constructed with BP neural network. Then the step of the model was introduced in detail and BP algorithm was designed. Moreover, an example was studied with twenty-three listed logistics company´s data in 2007. The examples show that the prediction results are basically consistent with the actual situation, and the comprehensive evaluation of the weight basically reflects the effect on performance of listed logistics company.
Keywords :
backpropagation; logistics; neural nets; BP algorithm; BP neural network; listed logistics company performance prediction; performance prediction model; Companies; Costs; Design engineering; Economic forecasting; Feedforward neural networks; Industrial economics; Logistics; Multi-layer neural network; Neural networks; Predictive models; BP algorithm; BP neural network; listed logistics company; performance prediction;
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
DOI :
10.1109/ICCDA.2010.5541365