Data-driven model for ternary-blend concrete compressive strength prediction using machine learning approach
Ternary-blend concrete is a complex composite material, and the nonlinearity in its
compressive strength behavior is unquestionable. Entirely many models have been …
compressive strength behavior is unquestionable. Entirely many models have been …
Integration of support vector regression and grey wolf optimization for estimating the ultimate bearing capacity in concrete-filled steel tube columns
Concrete-filled steel tube (CFST) columns are widely used in the construction industry.
Prediction of the ultimate bearing capacity of CFST columns is complicated because it is …
Prediction of the ultimate bearing capacity of CFST columns is complicated because it is …
Progress in artificial intelligence-based prediction of concrete performance
X Hu, B Li, Y Mo, O Alselwi - Journal of Advanced Concrete …, 2021 - jstage.jst.go.jp
Artificial intelligence technology has super high-dimensional nonlinear computing
capabilities, intelligent comprehensive analysis and judgment functions, and self-learning …
capabilities, intelligent comprehensive analysis and judgment functions, and self-learning …
Computational analysis on the different core configurations for metal sandwich panel under high velocity impact
This paper presents the effect of sandwich panel with two types of dimple core surface and
solid plate core on its ballistic properties and strength. The current core such as foam …
solid plate core on its ballistic properties and strength. The current core such as foam …
Solving regression problems with intelligent machine learner for engineering informatics
Machine learning techniques have been used to develop many regression models to make
predictions based on experience and historical data. They might be used singly or in …
predictions based on experience and historical data. They might be used singly or in …