Application of Explainable Artificial Intelligence in Sustainable Construction Materials - Couverture souple
Synopsis
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 (Paperback)
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Paperback. Etat : new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798900896205
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Application of Explainable Artificial Intelligence in Sustainable Construction Materials
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Application of Explainable Artificial Intelligence in Sustainable Construction Materials
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Application of Explainable Artificial Intelligence in Sustainable Construction Materials (Paperback)
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Paperback. Etat : new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798900896205
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Application of Explainable Artificial Intelligence in Sustainable Construction Materials (Paperback)
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Paperback. Etat : new. Paperback. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798900896205
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