DocumentCode
1754036
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
Volume
1
fYear
2011
fDate
28-29 March 2011
Firstpage
204
Lastpage
207
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location
Shenzhen, Guangdong
Print_ISBN
978-1-61284-289-9
Type
conf
DOI
10.1109/ICICTA.2011.60
Filename
5750592
Link To Document