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