Chaos time-series prediction based on an improved recursive Levenberg-Marquardt algorithm

DOI10.1016/J.CHAOS.2017.04.032zbMath1373.68334OpenAlexW2609501756MaRDI QIDQ1674355

Yucheng Feng, Jinsong Zeng, Xiancheng Shi, Kefu Chen

Publication date: 2 November 2017

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2017.04.032

zbMATH Keywords

neural networksrecursive algorithmLevenberg-Marquardtonline machine learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Time series analysis of dynamical systems (37M10)

Related Items (1)

Robustness of LSTM neural networks for multi-step forecasting of chaotic time series

Cites Work

• Configuring radial basis function network using fractal scaling process with application to chaotic time series prediction
• Efficient training of neural nets for nonlinear adaptive filtering using a recursive Levenberg-Marquardt algorithm
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