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Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure

1st Edition - November 1, 2023

Editor: M. Z. Naser

Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 2 4 0 7 3 - 1

Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure highlights the growing trend of fostering the use of CI… Read more

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Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure highlights the growing trend of fostering the use of CI to realize contemporary, smart, and safe infrastructure. This is an emerging area that has not fully matured yet, hence the book draws considerable interest and attention. In a sense, the book presents results of innovative efforts supplemented with case studies from leading researchers that can be used as benchmarks to carryout future experiments and/or facilitate the development of future experiments and advanced numerical models.The book is written with the intention to serve as a guide for a wide audience, including senior postgraduate students, academic and industrial researchers, materials scientists and practicing engineers working in civil, structural and mechanical engineering. While traditional methods fall short of adequately accounting for such complexity, fortunately, computational intelligence presents novel solutions that can effectively tackle growing demands of intense extreme events and modern designs of infrastructure – especially in this era where infrastructure is reaching new heights and serving larger populations with high social awareness and expectations.