Noise-suppressing zeroing neural network for online solving time-varying nonlinear optimization problem: a control-based approach

Time-varying nonlinear optimization problems with different noises often arise in the fields of scientific and engineering research. Noises are unavoidable in the practical workspace, but the most existing models for time-varying nonlinear optimization problems carry out with one assume that the com...

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Veröffentlicht in:	Neural computing & applications 2020-08, Vol.32 (15), p.11505-11520
Hauptverfasser:	Sun, Zhongbo, Shi, Tian, Wei, Lin, Sun, Yingyi, Liu, Keping, Jin, Long
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Convergence Data Mining and Knowledge Discovery Engineering research Hierarchies Image Processing and Computer Vision Neural networks Noise Noise control Nonlinear control Optimization Original Article Probability and Statistics in Computer Science
Online-Zugang:	Volltext
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