MATEC Web Conf.
Volume 203, 2018International Conference on Civil, Offshore & Environmental Engineering 2018 (ICCOEE 2018)
|Number of page(s)||12|
|Section||Structures and Materials|
|Published online||17 September 2018|
Prediction of High-Performance Concrete Strength Using a Hybrid Artificial Intelligence Approach
Petra Christian University, Department of Civil Engineering,
Jalan Siwalankerto 121-131 Surabaya 60236,
* Corresponding author: email@example.com
This study introduces an improved artificial intelligence (AI) approach called intelligence optimized support vector regression (IO-SVR) for estimating the compressive strength of high-performance concrete (HPC). The nonlinear functional mapping between the HPC materials and compressive strength is conducted using the AI approach. A dataset with 1,030 HPC experimental tests is used to train and validate the prediction model. Depending on the results of the experiments, the forecast outcomes of the IO-SVR model are of a much higher quality compared to the outcomes of other AI approaches. Additionally, because of the high-quality learning capabilities, the IO-SVR is highly recommended for calculating HPC strength.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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