Precision in Insurance Forecasting: Enhancing Potential with Ensemble and Combination Models based on the Adaptive Neuro-Fuzzy Inference System in the Egyptian Insurance Industry-Reference-Cited by-同舟云学术

Precision in Insurance Forecasting: Enhancing Potential with Ensemble and Combination Models based on the Adaptive Neuro-Fuzzy Inference System in the Egyptian Insurance Industry

Published:2024-05-02 Issue:1 Volume:38 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Khalil Ahmed¹²^ORCID,Liu Zaiming¹,Ali Ahmed³⁴^ORCID

Affiliation:

1. School of Mathematics and Statistics, Central South University, Changsha, Hunan, China

2. Faculty of commerce, Assiut University, Assiut, Egypt

3. Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

4. Higher Future Institute for Specialized Technological Studies, Cairo, Egypt

Funder

Prince Sattam bin Abdulaziz University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2348413

Reference56 articles.

1. Time Series Prediction of Electricity Demand Using Adaptive Neuro-Fuzzy Inference Systems

2. Civil and Environmental Research

3. Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection

4. Stacking hybrid GARCH models for forecasting Bitcoin volatility

5. ANFIS-ARIMA modelling for scheming re-aeration of hydrologically altered rivers

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