Comparison of neural network, Gaussian regression, support vector machine, long short-term memory, multi-gene genetic programming, and M5 Trees methods for solving civil engineering problems

• Published in: Applied soft computing Vol. 129; p. 109623
• Main Authors: Uncuoglu, Erdal, Citakoglu, Hatice, Latifoglu, Levent, Bayram, Savas, Laman, Mustafa, Ilkentapar, Mucella, Oner, A. Alper
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2022
• Subjects: Artificial neural network; Construction cost; Evaporation; Laterally loaded pile; M5Tree; Machine learning methods; Multi-gene genetic programming; Construction cost; Multi-gene genetic programming; M5Tree; Laterally loaded pile; Machine learning methods; Evaporation; Artificial neural network

In this study, it was investigated that how machine learning (ML) methods show performance in different problems having different characteristics. Six ML approaches including Artificial neural networks (ANN), gaussian process regression (GPR), support vector machine regression (SVMR), long short-ter...