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Bookmark or Share- Chaos theory meets deep learning: A new approach to time series ...This paper explores the efficacy of integrating chaos theory with deep learning to enhance both accuracy and efficiency in forecasting. Our novel method leverages the randomness, sensitivity, and diversity inherent in chaotic systems, providing a promising approach to advance deep learning models.
- Chaos Game Optimization: A comprehensive study of its variants ...Chaos Game Optimization Algorithm (CGO) is a novel advancement in metaheuristic optimization inspired by chaos theory. It addresses complex optimization problems in dynamical systems, exhibiting unique behaviours such as fractals and self-organized patterns.
- Chaos Theory - an overview | ScienceDirect TopicsChaos Theory. Chaos theory has been developed from the recognition that apparently simple physical systems which obey deterministic laws may nevertheless behave unpredictably. Nonlinear systems can converge to an equilibrium (steady state) or there can be a stable oscillation (periodic behavior) or there can be chaotic change.
- Chaos theory in geophysics: past, present and futureA systematic review of chaos theory in geophysics, covering a wide spectrum of geophysical phenomena studied (e.g. rainfall, river flow, sediment transport, temperature, pressure, tree ring series, etc.), is presented to narrate our past achievements not only in understanding and predicting geophysical phenomena but also in improving the chaos ...
- Chaos Theory in Finance - ScienceDirectThe chaos theory is a revolutionary approach to understanding and forecasting the behavior of financial markets. The beginning of its application coincided with the transition of finance to the use of big data. As computers and knowledge became more powerful chaos theory could become a larger part of evaluating and predicting in financial markets.
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