Optimized Multivariate Adaptive Regression Splines for Predicting Crude Oil Demand in Saudi Arabia

Optimized Multivariate Adaptive Regression Splines for Predicting Crude Oil Demand in Saudi Arabia

This paper presents optimized linear regression with multivariate adaptive regression splines (LR-MARS) for predicting crude oil demand in Saudi Arabia based on social spider optimization (SSO) algorithm. The SSO algorithm is applied to optimize LR-MARS performance by fine-tuning its hyperparameters...

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Bibliographic Details
Main Authors: Eman H. Alkhammash, Abdelmonaim Fakhry Kamel, Saud M. Al-Fattah, Ahmed M. Elshewey
Format: Article
Language:English
Published: Hindawi Limited 2022-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2022/8412895

Internet

http://dx.doi.org/10.1155/2022/8412895

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