Applications of neural networks in civil engineering: Models applied to the structural design reinforced concrete earthquake-resistant systems.

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Bol This book discusses the applications of neural networks in civil engineering, with emphasis on the structural design of reinforced concrete earthquake-resistant systems. It presents how neural models can support seismic response prediction, preliminary optimization, damage detection and technical decision making. The book maintains a critical view: artificial intelligence does not replace professional judgment, but can strengthen it when used with reliable data, rigorous validation, and responsible structural interpretation.

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This book discusses the applications of neural networks in civil engineering, with emphasis on the structural design of reinforced concrete earthquake-resistant systems. It presents how neural models can support seismic response prediction, preliminary optimization, damage detection and technical decision making. The book maintains a critical view: artificial intelligence does not replace professional judgment, but can strengthen it when used with reliable data, rigorous validation, and responsible structural interpretation.


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Merk Our Knowledge Publishing
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  • 9786630132021
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