A Primer on Machine Learning Applications in Civil Engineering

A Primer on Machine Learning Applications in Civil Engineering
Author :
Publisher : CRC Press
Total Pages : 211
Release :
ISBN-10 : 9780429836657
ISBN-13 : 0429836651
Rating : 4/5 (651 Downloads)

Book Synopsis A Primer on Machine Learning Applications in Civil Engineering by : Paresh Chandra Deka

Download or read book A Primer on Machine Learning Applications in Civil Engineering written by Paresh Chandra Deka and published by CRC Press. This book was released on 2019-10-28 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded. The aim of this book is to provide a broad overview of the available machine-learning techniques that can be utilized for solving civil engineering problems. The fundamentals of both theoretical and practical aspects are discussed in the domains of water resources/hydrological modeling, geotechnical engineering, construction engineering and management, and coastal/marine engineering. Complex civil engineering problems such as drought forecasting, river flow forecasting, modeling evaporation, estimation of dew point temperature, modeling compressive strength of concrete, ground water level forecasting, and significant wave height forecasting are also included. Features Exclusive information on machine learning and data analytics applications with respect to civil engineering Includes many machine learning techniques in numerous civil engineering disciplines Provides ideas on how and where to apply machine learning techniques for problem solving Covers water resources and hydrological modeling, geotechnical engineering, construction engineering and management, coastal and marine engineering, and geographical information systems Includes MATLABĀ® exercises


A Primer on Machine Learning Applications in Civil Engineering Related Books

A Primer on Machine Learning Applications in Civil Engineering
Language: en
Pages: 211
Authors: Paresh Chandra Deka
Categories: Computers
Type: BOOK - Published: 2019-10-28 - Publisher: CRC Press

GET EBOOK

Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded. The aim of this book
Advances in Artificial Intelligence and Machine Learning in Big Data Processing
Language: en
Pages: 342
Authors: R. Geetha
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

GET EBOOK

Foundations of Data Science for Engineering Problem Solving
Language: en
Pages: 125
Authors: Parikshit Narendra Mahalle
Categories: Technology & Engineering
Type: BOOK - Published: 2021-08-21 - Publisher: Springer Nature

GET EBOOK

This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in
Metaheuristic and Machine Learning Optimization Strategies for Complex Systems
Language: en
Pages: 423
Authors: R., Thanigaivelan
Categories: Computers
Type: BOOK - Published: 2024-07-17 - Publisher: IGI Global

GET EBOOK

In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory
Climate Change and Water Security
Language: en
Pages: 516
Authors: Sreevalsa Kolathayar
Categories: Science
Type: BOOK - Published: 2021-11-18 - Publisher: Springer Nature

GET EBOOK

This book presents the select proceedings of the Virtual Conference on Disaster Risk Reduction (VCDRR 2021). It emphasizes on the role of civil engineering for