From data to nonlinear dynamics: Time series prediction via hierarchical Bayes approach

From data to nonlinear dynamics: Time series prediction via hierarchical Bayes approach

In the framework of the hierarchical Bayesian approach, a method for nonlinear time series prediction using neural nets is proposed, and its particular applications are shown by examples. © 2002 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 85(10): 71–83, 2002; Published online in Wiley InterScien...

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Veröffentlicht in:Electronics & communications in Japan. Part 2, Electronics Electronics, 2002-10, Vol.85 (10), p.71-83
Hauptverfasser: Matsumoto, Takashi, Hamagishi, Hiroaki, Sugi, Junjiro, Saito, Motoki, Chonan, Yoshimasa
Format: Artikel
Sprache:eng
Schlagworte:
chaos
hierarchical Bayesian approach
neural net
nonlinear time series prediction
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Zusammenfassung:In the framework of the hierarchical Bayesian approach, a method for nonlinear time series prediction using neural nets is proposed, and its particular applications are shown by examples. © 2002 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 85(10): 71–83, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjb.10091
ISSN:8756-663X
1520-6432
DOI:10.1002/ecjb.10091