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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
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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).
Item Number
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.
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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.
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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.

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