SVM kernel based on particle swarm optimized vector and Bayesian optimized SVM in atmospheric particulate matter forecasting

The application of Artificial Intelligence (AI) has been upgraded in many scientific fields the last years, with the development of new artificial intelligence-based technologies and techniques. Considering that in the literature there is a very limited number of studies proposing and testing new SV...

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Veröffentlicht in:	Applied soft computing Jg. 93; S. 106410
1. Verfasser:	Kouziokas, Georgios N.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2020
Schlagworte:	Artificial neural networks Bayesian optimization Environmental pollutant Particle swarm optimization Support vector machines Support vector machines Environmental pollutant Bayesian optimization Particle swarm optimization Artificial neural networks
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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