Hierarchical neural networks for time-series analysis and control
Authors:
- T FröhlinghausTFT Fröhlinghaus
- A WeichertAWA Weichert
- P RujánPRP Ruján
- 1 February 1994
- journal article
- Published by Taylor & Francis in Network: Computation in Neural Systems
- Vol. 5 (1) , 101-116
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- A Gaussian potential function network with hierarchically self-organizing learningNeural Networks, 1991
- Networks for approximation and learningProceedings of the IEEE, 1990
- PREDICTING THE FUTURE: A CONNECTIONIST APPROACHInternational Journal of Neural Systems, 1990
- A theory for multiresolution signal decomposition: the wavelet representationIEEE Transactions on Pattern Analysis and Machine Intelligence, 1989
- Fast Learning in Networks of Locally-Tuned Processing UnitsNeural Computation, 1989
- Predicting chaotic time seriesPhysical Review Letters, 1987
- Basis vector importance sampling for Hamiltonian lattice spectrum calculationsJournal of Physics A: General Physics, 1985
- The Laplacian Pyramid as a Compact Image CodeIEEE Transactions on Communications, 1983
- Oscillation and Chaos in Physiological Control SystemsScience, 1977
- Multidimensional binary search trees used for associative searchingCommunications of the ACM, 1975