A new approach for chaotic time series prediction using recurrent neural network

DOI10.1155/2016/3542898zbMath1400.62215OpenAlexW2560817176WikidataQ59130880 ScholiaQ59130880MaRDI QIDQ1793005

Rui-Chang Lin, Qinghai Li

Publication date: 12 October 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/3542898

Mathematics Subject Classification ID

Neural nets and related approaches to inference from stochastic processes (62M45) Inference from stochastic processes and fuzziness (62M86)

Related Items (1)

Forecasting models for chaotic fractional-order oscillators using neural networks

Cites Work

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• Matrix perturbation analysis for weakly coupled oscillators
• A two-dimensional mapping with a strange attractor
• Nonlinear prediction of chaotic time series
• Neural control for coordinated natural oscillation patterns
• Circulant Synthesis of Central Pattern Generators With Application to Control of Rectifier Systems
• Advances in Neural Networks – ISNN 2005

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