Soft computing hybrids for FOREX rate prediction: a comprehensive review

DOI10.1016/J.COR.2018.05.020zbMath1458.91232OpenAlexW2803204740WikidataQ129778882 ScholiaQ129778882MaRDI QIDQ1654378

Dadabada Pradeepkumar, Vadlamani Ravi

Publication date: 8 August 2018

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2018.05.020

zbMATH Keywords

intelligent systemssoft computingmachine learningreviewhybrid modelFOREX rate prediction

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Financial applications of other theories (91G80)

Related Items (1)

FOREX rate prediction improved by Elliott waves patterns based on neural networks

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