A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price
Creating an intelligent system that can accurately predict stock price in a robust way has always been a subject of great interest for many investors and financial analysts. Predicting future trends of financial markets is more remarkable these days especially after the recent global financial crisi...
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Published in | Applied soft computing Vol. 29; pp. 196 - 210 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.04.2015
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Subjects | |
Online Access | Get full text |
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