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Estimation of customer retention for Indian mobile telecommunicatio sector

Reddy, M. Ravindar; Ganesh, Srikanth; Rahul, T.; Mann, … - In: International journal of business information systems : … 16 (2014) 3, pp. 233-246

Persistent link: https://www.econbiz.de/10010478211

Elitist-opposition-based artifcial electric feld algorithm for higher-order neural network optimization and fnancial time series forecasting

Nayak, Sarat Chandra; Dehuri, Satchidananda; Cho, Sung-Bae - In: Financial innovation : FIN 10 (2024), pp. 1-43

This study attempts to accelerate the learning ability of an artifcial electric feld algorithm (AEFA) by attributing it with two mechanisms: elitism and oppositionbased learning. Elitism advances the convergence of the AEFA towards global optima by retaining the fne-tuned solutions obtained thus...

Persistent link: https://www.econbiz.de/10014530164

Bitcoin forecasting performance measurement : a comparative study of econometric, machine learning and artificial intelligence-based models

Agrawal, Anshul; Mani, Mukta; Varshney, Sakshi - In: Journal of international commerce, economics and policy 14 (2023) 2, pp. 1-18

Persistent link: https://www.econbiz.de/10014365233

Volatility smile interpolation with radial basis functions

Azemtsa Donfack, Hermann; Wafo Soh, Celestin; Kotze, Antonie - In: International journal of theoretical and applied … 25 (2022) 7/8, pp. 1-23

Persistent link: https://www.econbiz.de/10014235131

Are box office revenues equally unpredictable for all movies? : evidence from a random forest-based model

Antipov, Evengy A.; Pokryshevskaya, Elena B. - In: Journal of revenue and pricing management 16 (2017) 3, pp. 295-307

Persistent link: https://www.econbiz.de/10011912835

Corporate bankruptcy prediction using machine learning methodologies with a focus on sequential data

Kim, Hyeongjun; Cho, Hoon; Ryu, Doojin - In: Computational economics 59 (2022) 3, pp. 1231-1249

Persistent link: https://www.econbiz.de/10013169352

Multi-faceted modelling for strip breakage in cold rolling using machine learning

Chen, Zheyuan; Liu, Ying; Valera-Medina, Agustin; … - In: International journal of production research 59 (2021) 21, pp. 6347-6360

Persistent link: https://www.econbiz.de/10012652739

Bitcoin return volatility forecasting : a comparative study between GARCH and RNN

Shen, Ze; Wan, Qing; Leatham, David J. - In: Journal of risk and financial management : JRFM 14 (2021) 7, pp. 1-18

forecasting accuracy and risk management efficiency. The results demonstrate that the RNN outperforms GARCH and EWMA in average … forecasting performance. However, it is less efficient in capturing the bitcoin market’s extreme events. Moreover, the RNN shows …

Persistent link: https://www.econbiz.de/10012626254

Machine learning for demand forecasting in the physical internet : a case study of agricultural products in Thailand

Kantasa-ard, Anirut; Nouiri, Maroua; Bekrar, Abdelghani; … - In: International journal of production research 59 (2021) 24, pp. 7491-7515

Persistent link: https://www.econbiz.de/10012697551

Harnessing attention-based graph recurrent neural networks for enhanced conversational flow prediction via conversational graph construction

Sujatha, R.; Nimala, K. - In: Journal of information & knowledge management : JIKM 23 (2024) 3, pp. 1-17

Persistent link: https://www.econbiz.de/10014575784