Forecasting Imports in OECD Member Countries and Iran by Using Neural Network Algorithms of LSTM
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- Heid, Benedikt & Vozzo, Isaac, 2020.
"The international trade effects of bilateral investment treaties,"
Economics Letters, Elsevier, vol. 196(C).
- Benedikt Heid & Isaac Vozzo, 2020. "The International Trade effects of Bilateral Investment Treaties," School of Economics and Public Policy Working Papers 2020-08, University of Adelaide, School of Economics and Public Policy.
- Haenlein, Michael & Kaplan, Andreas, 2021. "Artificial intelligence and robotics: Shaking up the business world and society at large," Journal of Business Research, Elsevier, vol. 124(C), pages 405-407.
- Fan, Dongyan & Sun, Hai & Yao, Jun & Zhang, Kai & Yan, Xia & Sun, Zhixue, 2021. "Well production forecasting based on ARIMA-LSTM model considering manual operations," Energy, Elsevier, vol. 220(C).
- Mustak, Mekhail & Salminen, Joni & Plé, Loïc & Wirtz, Jochen, 2021. "Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 389-404.
- Mekhail Mustak & Joni Salminen & Loïc Plé & Jochen Wirtz, 2021. "Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda," Post-Print hal-03269994, HAL.
- Paschen, Jeannette & Wilson, Matthew & Ferreira, João J., 2020. "Collaborative intelligence: How human and artificial intelligence create value along the B2B sales funnel," Business Horizons, Elsevier, vol. 63(3), pages 403-414.
- Prior, Daniel D. & Keränen, Joona, 2020. "Revisiting contemporary issues in B2B marketing: It's not just about artificial intelligence," Australasian marketing journal, Elsevier, vol. 28(2), pages 83-89.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2024-03-18 (Big Data)
- NEP-CMP-2024-03-18 (Computational Economics)
- NEP-FOR-2024-03-18 (Forecasting)
- NEP-INT-2024-03-18 (International Trade)
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