A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation

A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation

This study aims to analyze the sensitivity and robustness of two Artificial Intelligence (AI) techniques, namely Gaussian Process Regression (GPR) with five different kernels (Matern32, Matern52, Exponential, Squared Exponential, and Rational Quadratic) and an Artificial Neural Network (ANN) using a...

Full description

Bibliographic Details
Main Authors: Dong Van Dao, Hojjat Adeli, Hai-Bang Ly, Lu Minh Le, Vuong Minh Le, Tien-Thinh Le, Binh Thai Pham
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sustainability
Subjects:
high-performance concrete
compressive strength
artificial intelligence approach
monte carlo simulation
Online Access:https://www.mdpi.com/2071-1050/12/3/830

Internet

https://www.mdpi.com/2071-1050/12/3/830

Similar Items