首页|Study Findings from Nanjing Forestry University Provide New Insights into Machine Learning (Shear Strength Prediction of Frpstrengthened Concrete Beams Using Interpretable Machine Learning)
Study Findings from Nanjing Forestry University Provide New Insights into Machine Learning (Shear Strength Prediction of Frpstrengthened Concrete Beams Using Interpretable Machine Learning)
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NETL
NSTL
Elsevier
A new study on Machine Learning is now available. According to news reporting originating in Nanjing, People's Republic of China, by NewsRx journalists, research stated, "This study identified the factors affecting the contribution of externally bonded fiber reinforced polymer (FRP) composite (Vf) to the shear strength of reinforced concrete (RC) beams with internal shear reinforcement through the use of interpretable machine learning (ML). A comprehensive database with 442 RC beams strengthened in shear with FRP was established and subjected to data anomaly detection using the isolation forest algorithm." Funders for this research include National Natural Science Foundation of China (NSFC), Basic Research Program from the National Sci-ence Foundation of Jiangsu Province, China, Natural Science Research of Jiangsu Higher Education Institutions of China.
NanjingPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNanjing Forestry University
NETL
NSTL
Elsevier
