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Assess deep learning models for Egyptian exchange prediction using nonlinear artificial neural networks
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Year:
2020
Type:
article
Source:
Neural Computing and Applications
DOI:
10.1007/s00521-020-05374-9
Authors:
Essam H. Houssein,
Mahmoud Dirar,
Kashif Hussain,
Waleed M. Mohamed
Institutions:
Minia University,
University of Electronic Science and Technology of China
Language:
English
Topic:
Stock Market Forecasting Methods
Subfield:
Management Science and Operations Research
Field:
Decision Sciences
Domain:
Social Sciences
Open Access status:
closed
Funder:
National Natural Science Foundation of China
OpenAlex ID:
W3088775243
FWCI:
4.135
Cites:
77
Cited by:
41
Related to:
10