The analysis of financial market risk based on machine learning and particle swarm optimization algorithm

The financial industry is a key to promoting the development of the national economy, and the risk it takes is also the largest hidden risk in the financial market. Therefore, the risk existing in the current financial market should be deeply explored under blockchain technology (BT) to ensure the f...

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Veröffentlicht in:	EURASIP journal on wireless communications and networking Jg. 2022; H. 1; S. 1 - 17
Hauptverfasser:	Liu, Tao, Yu, Zhongyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 02.04.2022 Springer Nature B.V SpringerOpen
Schlagworte:	Algorithms Artificial intelligence Blockchain Clustering Clustering method Communications Engineering Cryptography Decision trees Engineering Financial market Information Systems Applications (incl.Internet) Interdisciplinary subjects International finance Machine learning Machine Learning for Trust Mathematical models Networks Optimization algorithms Particle swarm optimization Random forest Regional development Securities markets Security and Privacy in Computing and Communications Signal,Image and Speech Processing Supply chains Wireless networks Random forest Financial market Clustering method Machine learning Blockchain
ISSN:	1687-1499, 1687-1472, 1687-1499
Online-Zugang:	Volltext
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