Parametric sensitivity analysis and modelling of mechanical properties of normal- and high-strength recycled aggregate concrete using grey theory, multiple nonlinear regression and artificial neural networks

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Parametric sensitivity analysis and modelling of mechanical properties of normal- and high-strength recycled aggregate concrete using grey theory, multiple nonlinear regression and artificial neural networks

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Parametric sensitivity analysis and modelling of mechanical properties of normal- and high-strength recycled aggregate concrete using grey theory, multiple nonlinear regression and artificial neural networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Parametric sensitivity analysis and modelling of mechanical properties of normal- and high-strength recycled aggregate concrete using grey theory, multiple nonlinear regression and artificial neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/parametric-sensitivity-analysis-and-modelling-of-mechanical-properties-of-normal-and-high-strength-recycled-aggregate-co
MLA “Parametric sensitivity analysis and modelling of mechanical properties of normal- and high-strength recycled aggregate concrete using grey theory, multiple nonlinear regression and artificial neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/parametric-sensitivity-analysis-and-modelling-of-mechanical-properties-of-normal-and-high-strength-recycled-aggregate-co.
BibTeX @misc{4ortxyz_parametric-sensitivity-analysis-and-modelling-of-mechanical-properties-of-normal-and-high-strength-recycled-aggregate-co_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Parametric sensitivity analysis and modelling of mechanical properties of normal- and high-strength recycled aggregate concrete using grey theory, multiple nonlinear regression and artificial neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/parametric-sensitivity-analysis-and-modelling-of-mechanical-properties-of-normal-and-high-strength-recycled-aggregate-co}, note = {Accessed: 2026-05-24}}
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