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Adaptive evolutionary neural networks for forecasting and trading without a data-snooping bias
Sermpinis, Georgios; Verousis, Thanos; Theofilatos, … - In: Journal of forecasting 35 (2016) 1, pp. 1-12
Persistent link: https://www.econbiz.de/10011417657
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Modeling commodity value at risk with Psi Sigma neural networks using open-high-low-close data
Sermpinis, Georgios; Laws, Jason; Dunis, Christian - In: The European journal of finance 21 (2015) 4/6, pp. 316-336
Persistent link: https://www.econbiz.de/10010528195
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A neural feature extraction model for classification of firms and prediction of outsourcing success : advantage of using relational sources of information for new suppliers
Medhi, Pankaj Kumar; Mondal, Sandeep - In: International journal of production research 54 (2016) 19/20, pp. 6071-6081
Persistent link: https://www.econbiz.de/10011543743
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Predicting daily surgical volumes using probabilistic estimates of providers' future availability
Eun, Joonyup; Tiwari, Vikram; Sandberg, Warren S. - In: Decision sciences 53 (2022) 1, pp. 124-149
Persistent link: https://www.econbiz.de/10013164978
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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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Systematic bibliometric review of artificial intelligence technology in organizational management, development, change and culture
Bilan, Svitlana; Šuleř, Petr; Skrynnyk, Olena; … - In: Verslas : teorija ir praktika : Vilniaus Gedimino … 23 (2022) 1, pp. 1-13
Even now, in the times of advanced digitization, the planning and implementation of many organizational measures remain human-driven. Corresponding to a global trend of application of artificial intelligence in all areas of life, it has received more attention in the last few years and garnered...
Persistent link: https://www.econbiz.de/10012938779
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The global organizational behavior analysis for financial risk management utilizing Artificial Intelligence
Yang, Shufang; Wu, Hainan - In: Journal of global information management 30 (2022) 7, pp. 1-24
Persistent link: https://www.econbiz.de/10012800043
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An improved BPNN algorithm based on deep learning technology to analyze the market risks of A+H shares
Wu, Yi; Zhu, Delong; Liu, Zijian; Li, Xin Li - In: Journal of global information management 30 (2022) 7, pp. 1-23
Persistent link: https://www.econbiz.de/10012800063
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A bibliometric analysis of artificial intelligence technique in financial market
Janková, Zuzana - In: Scientific papers of the University of Pardubice 29 (2021) 3, pp. 1-10
This article aims to explore the main areas of research, development trends and provide a systematic overview of publications in the field of artificial intelligence in financial markets. The bibliometric tool VOSViewer is used in this paper. We analyzed 353 articles and contributions obtained...
Persistent link: https://www.econbiz.de/10012672254
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Application of artificial neural network techniques in computer aided process planning : a review
Natarajan, K. K.; Gokulachandran, J. - In: International journal of process management and … 11 (2021) 1, pp. 80-100
Persistent link: https://www.econbiz.de/10012512448