Machine Learning Applications in Civil Engineering discusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic methods wherein internal processing is done using randomized prototypes. The book explains various machine learning mo...

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Bibliographische Detailangaben

1. Verfasser:	Meshram, Kundan (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Amsterdam ; Kidlington, Oxford ; Cambridge, MA Elsevier [2024]
Schriftenreihe:	Woodhead publishing series in civil and structural engineering
Schlagworte:	Bautechnik Maschinelles Lernen Bauingenieur-, Vermessungs- und Bauwesen Civil engineering, surveying & building TECHNOLOGY & ENGINEERING / Civil / General
Online-Zugang:	DE-706 URL des Erstveröffentlichers
Zusammenfassung:	Machine Learning Applications in Civil Engineering discusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic methods wherein internal processing is done using randomized prototypes. The book explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency. It introduces Machine Learning and its applications to different Civil Engineering tasks, including Basic Machine Learning Models for data pre-processing, models for data representation, classification models for Civil Engineering Applications, Bioinspired Computing models for Civil Engineering, and their case studies. Using this book, civil engineering students and researchers can deep dive into Machine Learning, and identify various solutions to practical Civil Engineering tasks
Beschreibung:	Literaturangaben
Beschreibung:	1 Online-Ressource (vii, 208 Seiten) Illustrationen, Diagramme
ISBN:	9780443153648
DOI:	10.1016/C2022-0-01428-8