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Machine Learning Applications in Civil Engineering

Machine Learning Applications in Civil Engineering

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Machine Learning Applications in Civil Engineering explores machine learning and deep learning models for civil engineering tasks, including data pre-processing, representation, classification, and bioinspired computing, with case studies. It helps students and researchers dive into Machine Learning and identify solutions for practical civil engineering problems.

Format: Paperback / softback
Length: 218 pages
Publication date: 02 October 2023
Publisher: Elsevier - Health Sciences Division


Machine Learning Applications in Civil Engineering delves into the realm of machine learning and deep learning models, exploring their applications in various civil engineering domains. These models operate on stochastic methods, employing randomized prototypes for internal processing. The book elucidates diverse machine learning model designs, empowering researchers to create highly efficient multi-domain systems. It introduces Machine Learning and its practical applications to diverse Civil Engineering tasks, encompassing 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. By utilizing this comprehensive resource, civil engineering students and researchers can delve into the intricacies of Machine Learning, uncovering innovative solutions to real-world Civil Engineering challenges.

Weight: 364g
Dimension: 150 x 229 x 15 (mm)
ISBN-13: 9780443153648

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