Title :
Regional Logistics Quantity Prediction Based on the Chaotic Neural Network
Author :
Yewang, Zhou ; Yefu, Zhou
Author_Institution :
Sch. of Bus., Huanggang Normal Univ., Huanggang, China
Abstract :
The paper set up regional logistics prediction model based on the chaotic nerve network according to regional logistics characteristic, judge regional logistics chaotic characteristic Utilize phase space reconstruction technology at first, Positive Lyapunov exponent and correlation dimension prove the regional logistics has Chaotic characteristics. Then set up neural network prediction models on the basis chaotic judgement.
Keywords :
logistics; neural nets; chaotic neural network; phase space reconstruction technology; positive Lyapunov exponent; prediction model; regional logistics quantity prediction; Artificial neural networks; Chaos; Correlation; Delay effects; Logistics; Predictive models; Time series analysis; chaos; logistics quantity; neural network;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
DOI :
10.1109/ICICTA.2011.60
