Feature extraction-based intelligent algorithm framework with neural network for solving conditional nonlinear optimal perturbation

Conditional nonlinear optimal perturbation (CNOP) defines an optimization problem to study predictability and sensitivity of the oceanic and climatic events in the nonlinear system. One effective method to solve the corresponding problem is feature extraction-based intelligent algorithm (FEIA) frame...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 26; H. 14; S. 6907 - 6924
Hauptverfasser:	Yuan, Shijin, Zhang, Huazhen, Liu, Yaxuan, Mu, Bin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2022
Schlagworte:	Application of Soft Computing Artificial Intelligence Computational Intelligence Control Engineering Mathematical Logic and Foundations Mechatronics Robotics Dimension reduction Intelligent algorithm Conditional nonlinear optimal perturbation Large-scale optimization Neural network
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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