Referenced Items are not available for this document.
Coal Information Network traffic and chaos characteristics of self-similarity of closely related, proposed first by monitoring the flow of information categories to determine the priority, followed by select the appropriate flow of information as indicators, and verified by Lyapunov exponent of chaos characteristics, the use of improved Duffing oscillator chaotic traffic prediction model constructed by comparing simulated and real data experiments verify its reliability.
Published in:
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Date of Conference: 30-31 July 2011
- Page(s):
- 1 - 4
- Print ISBN:
- 978-1-4577-0859-6
- INSPEC Accession Number:
- 12208596
- Conference Location :
- Singapore
- Digital Object Identifier :
- 10.1109/ICCASE.2011.5997776
- Product Type:
- Conference Publications
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