The use of artificial neural networks for quantifying the relative importance of the firms' performance determinants
Year of publication: |
2017
|
---|---|
Authors: | Mahdavi, Gholamhossein ; Maharluie, Mohammad Sadeghzadeh ; Shokrolahi, Ahmad |
Published in: |
International journal of economics and financial issues : IJEFI. - Mersin : EconJournals, ISSN 2146-4138, ZDB-ID 2632572-X. - Vol. 7.2017, 3, p. 119-127
|
Subject: | Performance | Artificial Neural Networks | Tehran Stock Exchange | Neuronale Netze | Neural networks | Unternehmenserfolg | Firm performance | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory |
-
Mahmood, Faisal, (2022)
-
Board expertise background and firm performance
Lee, Chiou-Yann, (2023)
-
Artificial neural networks for demand forecasting of the Canadian forest products industry
Shahi, Shashi K., (2024)
- More ...
-
Detecting and ranking cash flow risk factors via artificial neural networks technique
Namazi, Mohammad, (2016)
-
Taghizadeh, Reza, (2023)
-
Audit firm, retain or rotation? (client and audit firm perspectives)
Mahdavi, Gholamhossein, (2017)
- More ...