Application of Explainable Artificial Intelligence in Sustainable Construction Materials

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Bol Application of Explainable Artificial Intelligence in Sustainable Construction Materials unveils the cutting-edge integration of machine learning and XAI to revolutionize civil engineering. From predictive modelling of properties in sustainable construction materials to interpreting results using multi-layered, model-agnostic Shapley Additive Explanations (SHAP) techniques, such as summary plots and force plots (primary layer of explainability), and ICE-PDP curves (secondary layer of explainability). This book equips readers with the tools to optimise eco-friendly materials while reducing environmental impact.Perfect for engineers, researchers, and policymakers, it turns complex predictions into practical solutions for a sustainable future.

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Application of Explainable Artificial Intelligence in Sustainable Construction Materials unveils the cutting-edge integration of machine learning and XAI to revolutionize civil engineering. From predictive modelling of properties in sustainable construction materials to interpreting results using multi-layered, model-agnostic Shapley Additive Explanations (SHAP) techniques, such as summary plots and force plots (primary layer of explainability), and ICE-PDP curves (secondary layer of explainability). This book equips readers with the tools to optimise eco-friendly materials while reducing environmental impact.Perfect for engineers, researchers, and policymakers, it turns complex predictions into practical solutions for a sustainable future.


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Merk Notion Press
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  • 9798901767160
Maat


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