A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series-Reference-Cited by-同舟云学术

A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series

Published:2011-03-08 Issue:3 Volume:33 Page:215-233
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Gómez-Gil Pilar,Ramírez-Cortes Juan Manuel,Pomares Hernández Saúl E.,Alarcón-Aquino Vicente

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s11063-011-9174-0.pdf

Reference46 articles.

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2. Galván IM, Isasi P (2001) Multi-step learning rule for recurrent neural models: an application to time series forecasting. Neural Process Lett 13: 115–133

3. Kinsner W (2006) Characterizing chaos through Lyapunov metrics. IEEE Trans Syst Man Cybernet C 36(2): 141–151

4. Strogatz SH (1994) Nonlinear dynamics and chaos: with applications to physics, biology, chemistry, and engineering. Addison-Wesley, New York

5. Principe JC, Kuo JM (1995) Dynamic modeling of chaotic time series with neural networks. In: Tesauro G, Touretzky DS, Leen TK (eds) Advances in neural information processing systems 7. Morgan Koufmann, San Mateo

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