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pro vyhledávání: '"Rashidi Khazaee, Parviz"'
Advanced algorithms based on Deep Reinforcement Learning (DRL) have been able to become a reliable tool for the Forex market traders and provide a suitable strategy for maximizing profit and reducing trading risk. These tools try to find the most pro
Externí odkaz:
http://arxiv.org/abs/2411.01456
In today's forex market traders increasingly turn to algorithmic trading, leveraging computers to seek more profits. Deep learning techniques as cutting-edge advancements in machine learning, capable of identifying patterns in financial data. Traders
Externí odkaz:
http://arxiv.org/abs/2405.19982
Akademický článek
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Publikováno v:
In Journal of Biomedical Informatics March 2019 91
Publikováno v:
In International Journal of Medical Informatics November 2018 119:125-133
Publikováno v:
In International Journal of Medical Informatics April 2017 100:95-107
Publikováno v:
Artificial Neural Networks-ICANN 2008 ISBN: 9783540875352
ICANN (1)
ICANN (1)
In this paper we have presented an Integrated Wavelet Neural Network (WNN) model and Mutual Information (MI)-based input selection algorithm for time series prediction. Based on MI the proper input variables, which describe the time series' dynamics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e456aea5fd96dfc6d2eabe21b46c354f
https://doi.org/10.1007/978-3-540-87536-9_82
https://doi.org/10.1007/978-3-540-87536-9_82
Autor:
Niazkhani, Zahra, Fereidoni, Mahsa, Rashidi Khazaee, Parviz, Shiva, Afshin, Makhdoomi, Khadijeh, Georgiou, Andrew, Pirnejad, Habibollah
Publikováno v:
BMC Medical Informatics & Decision Making; 8/20/2020, Vol. 20 Issue 1, pN.PAG-N.PAG, 1p, 4 Diagrams, 2 Charts
Autor:
Rashidi Khazaee P; Electrical and Computer Engineering Department, Urmia University., Pirnejad H; Department of HIT, Urmia University of Medical Sciences, Urmia, Iran., Bagherzadeh J; Electrical and Computer Engineering Department, Urmia University., Niazkhani Z; Department of HIT, Urmia University of Medical Sciences, Urmia, Iran.
Publikováno v:
Studies in health technology and informatics [Stud Health Technol Inform] 2016; Vol. 226, pp. 29-32.