A multi-strategy random weighted gray wolf optimizer-based multi-layer perceptron model for short-term wind speed forecasting

Gray wolf optimizer (GWO) that is one of the meta-heuristic optimization algorithms is principally based on the hunting method and social hierarchy of the gray wolves in the nature. This paper presents the Multi-strategy Random weighted Gray Wolf Optimizer (MsRwGWO) including some effective and nove...

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Veröffentlicht in:	Neural computing & applications Jg. 34; H. 17; S. 14627 - 14657
Hauptverfasser:	İnaç, Tufan, Dokur, Emrah, Yüzgeç, Uğur
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.09.2022 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Benchmarks Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Forecasting Heuristic methods Image Processing and Computer Vision Mathematical models Multilayer perceptrons Multilayers Mutation Optimization Original Article Performance evaluation Probability and Statistics in Computer Science Source code Training Wind speed Wolves Gray wolf optimizer Random weighted Novel transition mechanism Wind speed forecasting
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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