Time series analysis and prediction of nonlinear systems with ensemble learning framework applied to deep learning neural networks
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Publication:6071280
DOI10.1016/j.ins.2021.04.094OpenAlexW3158645101MaRDI QIDQ6071280
Shao-Chun Wen, Cheng-Hsiung Yang
Publication date: 23 November 2023
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2021.04.094
Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Artificial neural networks and deep learning (68T07) Time series analysis of dynamical systems (37M10)
Cites Work
- Unnamed Item
- Estimating the Number of Clusters in a Data Set Via the Gap Statistic
- Data based identification and prediction of nonlinear and complex dynamical systems
- Nonlinear prediction of chaotic time series
- Neural-network-based decentralized fault-tolerant control for a class of nonlinear large-scale systems with unknown time-delayed interaction faults
- Adaptive control and synchronization of a modified Chua's circuit system.
- Generalized greedy alternatives
- A survey on true random number generators based on chaos
- Numerical inclusion of exact periodic solutions for time delay Duffing equation
- Analysis of earnings forecast of blockchain financial products based on particle swarm optimization
- Second order asymptotical regularization methods for inverse problems in partial differential equations
- Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data
- Nonlinear Time Series Analysis
- Robust adaptive fuzzy backstepping output feedback tracking control for nonlinear system with dynamic uncertainties
- Inferring symbolic dynamics of chaotic flows from persistence
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