Chaotic time series prediction with a global model: Artificial neural network
- 13 October 2005
- journal article
- Published by Elsevier in Journal of Hydrology
- Vol. 323 (1-4), 92-105
- https://doi.org/10.1016/j.jhydrol.2005.07.048
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- River flow forecasting: use of phase-space reconstruction and artificial neural networks approachesJournal of Hydrology, 2002
- Estimation of missing streamflow data using principles of chaos theoryJournal of Hydrology, 2001
- Characterization and prediction of runoff dynamics: a nonlinear dynamical viewAdvances in Water Resources, 2001
- A systematic approach to noise reduction in chaotic hydrological time seriesJournal of Hydrology, 1999
- Nonlinear analysis of river flow time sequencesWater Resources Research, 1997
- A simple noise-reduction method for real dataPhysics Letters A, 1991
- Predicting chaotic time seriesPhysical Review Letters, 1987
- Measuring the strangeness of strange attractorsPhysica D: Nonlinear Phenomena, 1983
- Characterization of Strange AttractorsPhysical Review Letters, 1983
- Geometry from a Time SeriesPhysical Review Letters, 1980