Artificial intelligence in mechatronics and civil engineering : bridging the gap / edited by Ehsan Momeni, Danial Jahed Armaghani, Aydin Azizi.
Momeni, Ehsan, editor.; Armaghani, Danial Jahed, editor.; Azizi, Aydin, editor.
2023
TJ163.12
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Artificial intelligence in mechatronics and civil engineering : bridging the gap / edited by Ehsan Momeni, Danial Jahed Armaghani, Aydin Azizi.
ISBN 9789811987908 (electronic bk.)
9811987904 (electronic bk.)
9789811987892
9811987890
DOI https://doi.org/10.1007/978-981-19-8790-8
Published Singapore : Springer, 2023.
Language English
Description 1 online resource (302 pages) : illustrations (black and white, and colour).
Other Standard Identifiers 10.1007/978-981-19-8790-8 doi
Call Number TJ163.12
Dewey Decimal Classification 621.0285/63
Summary Recent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering. This book covers the successful implementation of different intelligent techniques in various areas of engineering focusing on common areas between mechatronics and civil engineering. The power of artificial intelligence and machine learning techniques in solving some examples of real-life problems in engineering is highlighted in this book. The implementation process to design the optimum intelligent models is discussed in this book.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Momeni, Ehsan, editor.
Armaghani, Danial Jahed, editor.
Azizi, Aydin, editor.
Series Emerging trends in mechatronics.
Available in Other Form Artificial intelligence in mechatronics and civil engineering.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
1. Optical resistance switch for optical sensing
2. Empirical, statistical, and machine learning techniques for predicting surface settlement induced by Tunnelling
3. A review on the feasibility of Artificial Intelligence in Mechatronics
4. Feasibility of artificial intelligence techniques in rock characterization
5. A review on the application of soft computing techniques in Foundation Engineering.

Browse Subjects

Show more subjects...

Statistics

from
to
Export