Estimating Compressive Strength of High Performance Concrete with Gaussian Process Regression Model

This research carries out a comparative study to investigate a machine learning solution that employs the Gaussian Process Regression (GPR) for modeling compressive strength of high-performance concrete (HPC). This machine learning approach is utilized to establish the nonlinear functional mapping b...

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Bibliographic Details
Main Authors: Nhat-Duc Hoang, Anh-Duc Pham, Quoc-Lam Nguyen, Quang-Nhat Pham
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2016/2861380
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