Prediction of compressive strength and portland cement composition using cross-validation and feature ranking techniques

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Predicting compressive strength of lightweight foamed concrete using extreme learning machine model

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Engineering, Civil Engineering, Materials Engineering +14

Modeling slump flow of concrete using second-order regressions and artificial neural networks

I‐Cheng Yeh · Cement and Concrete Composites · 2007 · 304 citations

Engineering, Civil Engineering, Materials Engineering +11

Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm

Ali Behnood, Venous Behnood, Mahsa Modiri Gharehveran et al. · Construction and Building Materials · 2017 · 303 citations

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Machine learning for durability and service-life assessment of reinforced concrete structures: Recent advances and future directions

Woubishet Zewdu Taffese, Esko Sistonen · Automation in Construction · 2017 · 243 citations

Engineering, Civil Engineering, Materials Engineering +17