文章基本信息

标题：Prediction of High-Performance Concrete Strength Using a Hybrid Artificial Intelligence Approach
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作者：Doddy Prayogo ; Foek Tjong Wong ; Daniel Tjandra 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2018
卷号：203
DOI：10.1051/matecconf/201820306006
语种：English
出版社：EDP Sciences
摘要：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.