Prediction of dragon king extreme events using machine learning approaches and its characterizations-Reference-Cited by-同舟云学术

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Prediction of dragon king extreme events using machine learning approaches and its characterizations

Published:2023-11 Issue: Volume:489 Page:129158
ISSN:0375-9601
Container-title:Physics Letters A
language:en
Short-container-title:Physics Letters A

Author:

Durairaj Premraj,Kammavar Sundararam Gayathri,Kanagaraj Sathiyadevi,Rajagopal Karthikeyan

Funder

Center for Nonlinear Systems, Chennai Institute of Technology

Vellore Institute of Technology, Chennai

Publisher

Elsevier BV

Subject

General Physics and Astronomy

Reference47 articles.

1. Extreme Events in Nature and Society;Albeverio,2006

2. Extreme events in dynamical systems and random walkers: A review

3. Freak Waves in the Linear Regime: A Microwave Study

4. Statistics of Extreme Waves in Random Media

5. Influence of time-delay feedback on extreme events in a forced Liénard system

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1. Extreme events in a damped Korteweg–de Vries (KdV) autonomous system: A comprehensive analysis;Chaos, Solitons & Fractals;2024-09

2. Implementing the analogous neural network using chaotic strange attractors;Communications Engineering;2024-07-15

3. Super extreme events and dragon kings in a memristive coupled Rulkov maps;The European Physical Journal Special Topics;2024-05-14

4. Transition to extreme events in a coupled memristive Hindmarsh–Rose neuron system;The European Physical Journal Plus;2024-03-11

5. Mitigation of extreme events in an excitable system;The European Physical Journal Plus;2024-03-01

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