Analysis and prediction of aperiodic hydrodynamic oscillatory time series by feed-forward neural networks, fuzzy logic, and a local nonlinear predictor-Reference-Cited by-同舟云学术

Analysis and prediction of aperiodic hydrodynamic oscillatory time series by feed-forward neural networks, fuzzy logic, and a local nonlinear predictor

Published:2015-01 Issue:1 Volume:25 Page:013104
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Gentili Pier Luigi¹^ORCID,Gotoda Hiroshi²,Dolnik Milos³,Epstein Irving R.³

Affiliation:

1. Department of Chemistry, Biology and Biotechnology, University of Perugia, 06123 Perugia, Italy

2. Department of Mechanical Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu-shi, Shiga 525-8577, Japan

3. Department of Chemistry, Brandeis University, Waltham, Massachusetts 02454-9110, USA

Funder

National Science Foundation (NSF)

Ministero dell'Istruzione, dell'Università e della Ricerca (Ministry of Education, Research and Universities)

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4905458

Reference35 articles.

1. Detecting strange attractors in turbulence

2. Recent Developments in Chaotic Time Series Analysis

3. VII. On a method of investigating periodicities disturbed series, with special reference to Wolfer's sunspot numbers

4. “Photochemical Oscillator”: Colored Hydrodynamic Oscillations and Waves in a Photochromic System

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