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AI in marketing, consumer research and psychology : a systematic literature review and research agenda
Mariani, Marcello M.; Perez-Vega, Rodrigo; Wirtz, Jochen - In: Psychology & marketing 39 (2022) 4, pp. 755-776
Persistent link: https://www.econbiz.de/10013165434
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Has dynamic programming improved decision making?
Rust, John - In: Annual review of economics 11 (2019), pp. 833-858
Persistent link: https://www.econbiz.de/10012623842
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Application of artificial intelligence in stock market forecasting : a critique, review, and research agenda
Chopra, Ritika; Sharma, Gagan Deep - In: Journal of risk and financial management : JRFM 14 (2021) 11, pp. 1-34
The stock market is characterized by extreme fluctuations, non-linearity, and shifts in internal and external environmental variables. Artificial intelligence (AI) techniques can detect such non-linearity, resulting in much-improved forecast results. This paper reviews 148 studies utilizing...
Persistent link: https://www.econbiz.de/10012795264
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Neuro-fuzzy approach in business applications : a decade survey
Rajab, Sharifa; Sharma, Vinod - In: International journal of business information systems : … 26 (2017) 4, pp. 451-487
Persistent link: https://www.econbiz.de/10011856652
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Configuration and implementation of a daily artificial neural network-based forecasting system using real supermarket data
Slimani, Ilham; El Farissi, Ilhame; Achchab, Said - In: International journal of logistics systems and management 28 (2017) 2, pp. 144-163
Persistent link: https://www.econbiz.de/10011856121
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Artificial neural pseudo-network for production control purposes
Fertsch, Marek - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 16 (2020) 1, pp. 7-13
Persistent link: https://www.econbiz.de/10012155582
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Exploring neural network models in understanding bilateral trade in APEC : a review of history and concepts
Quimba, Francis Mark A.; Barral, Mark Anthony A. - 2018
procedures in predictions. Machine learning becomes popular for doing operations that practically require more efficiency and …
Persistent link: https://www.econbiz.de/10011993791
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Using machine learning in detecting fake news
Bolotă, Ștefan; Asandului, Mircea - In: The review of economic and business studies : REBS 15 (2022) 2, pp. 53-66
Persistent link: https://www.econbiz.de/10014249368
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Intelligent stock prediction : a neural network approach
Shahrour, Mohamad Hassan; Dekmak, Mostafa - In: International journal of financial engineering 10 (2023) 1, pp. 1-14
Persistent link: https://www.econbiz.de/10014251199
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A bibliometric analysis of machine learning econometrics in asset pricing
Zapata, Hector O.; Mukhopadhyay, Supratik - In: Journal of risk and financial management : JRFM 15 (2022) 11, pp. 1-17
Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...
Persistent link: https://www.econbiz.de/10013475217