Hierarchical training of neural networks and prediction of chaotic time series
- 19 August 1991
- journal article
- Published by Elsevier in Physics Letters A
- Vol. 158 (1-2) , 57-62
- https://doi.org/10.1016/0375-9601(91)90340-e
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Calculating the rate of loss of information from chaotic time series by forecastingNature, 1991
- Optimal Embeddings of Chaotic Attractors from Topological ConsiderationsEurophysics Letters, 1991
- Unstable periodic orbits and predictionPhysical Review A, 1991
- Nonlinear dynamics of feedback multilayer perceptronsPhysical Review A, 1990
- Nonlinear forecasting as a way of distinguishing chaos from measurement error in time seriesNature, 1990
- MOTION DETECTION AND DIRECTION DETECTION IN LOCAL NEURAL NETSInternational Journal of Neural Systems, 1989
- Predicting chaotic time seriesPhysical Review Letters, 1987
- On determining the dimension of chaotic flowsPhysica D: Nonlinear Phenomena, 1981
- Geometry from a Time SeriesPhysical Review Letters, 1980
- An equation for continuous chaosPhysics Letters A, 1976