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 Online-Ressource
Titel:Artificial intelligence in performance-driven design
Titelzusatz:theories, methods, and tools
Mitwirkende:Abbasabadi, Narjes [HerausgeberIn]   i
 Ashayeri, Mehdi [HerausgeberIn]   i
Verf.angabe:edited by Narjes Abbasabadi, University of Washington, Seattle, USA, Mehdi Ashayeri, Southern Illinois University Carbondale, Carbondale, USA
Ausgabe:First edition.
Verlagsort:Hoboken, New Jersey
Verlag:Wiley
E-Jahr:2024
Jahr:[2024]
Umfang:1 online resource (xix, 283 pages)
Illustrationen:illustrations (chiefly color)
Fussnoten:Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on April 24, 2024)
ISBN:978-1-394-17209-2
 1-394-17209-5
 978-1-394-17207-8
 1-394-17207-9
 978-1-394-17208-5
 1-394-17208-7
 978-1-394-17206-1
Abstract:"The recent advances in data-driven approaches and big data initiatives provide enormous opportunities for sustainable design and research in decarbonization and digital transformation of the built environment. The Artificial Intelligence and Sustainable Design: Theories, Methods, and Tools book aims to comprehensively review the application of Artificial Intelligence (AI), particularly Machine Learning (ML), in enhancing performance-based design and offer advanced insight into different approaches, methods, and tools for bringing the power of AI in simulation platforms and leveraging digital twin throughout the life cycle of the built environment. The contents center on fundamentals of building science, including key performance indicators such as comfort, indoor/outdoor environmental quality, solar and daylight, and energy exploring human-centered and evidence-based design and optimization procedures and integrating intelligent systems for better understanding, designing, and managing our existing and future built environments"--
URL:Aggregator: https://learning.oreilly.com/library/view/-/9781394172061/?ar
Datenträger:Online-Ressource
Sprache:eng
Bibliogr. Hinweis:Erscheint auch als : Druck-Ausgabe
Sach-SW:Intelligence artificielle ; Applications industrielles
 Conception technique ; Informatique
K10plus-PPN:1892761629
 
 
Lokale URL UB: Zum Volltext
 
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