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Artificial intelligence in mechatron...
~
Momeni, Ehsan.
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Artificial intelligence in mechatronics and civil engineering = bridging the gap /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Artificial intelligence in mechatronics and civil engineering/ edited by Ehsan Momeni, Danial Jahed Armaghani, Aydin Azizi.
Reminder of title:
bridging the gap /
other author:
Momeni, Ehsan.
Published:
Singapore :Springer Nature Singapore : : 2023.,
Description:
xii, 247 p. :ill., digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Mechatronics - Data processing. -
Online resource:
https://doi.org/10.1007/978-981-19-8790-8
ISBN:
9789811987908
Artificial intelligence in mechatronics and civil engineering = bridging the gap /
Artificial intelligence in mechatronics and civil engineering
bridging the gap /[electronic resource] :edited by Ehsan Momeni, Danial Jahed Armaghani, Aydin Azizi. - Singapore :Springer Nature Singapore :2023. - xii, 247 p. :ill., digital ;24 cm. - Emerging trends in mechatronics,2731-4863. - Emerging trends in mechatronics..
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.
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.
ISBN: 9789811987908
Standard No.: 10.1007/978-981-19-8790-8doiSubjects--Topical Terms:
802569
Mechatronics
--Data processing.
LC Class. No.: TJ163.12 / .A78 2023
Dewey Class. No.: 621.028563
Artificial intelligence in mechatronics and civil engineering = bridging the gap /
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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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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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Armaghani, Danial Jahed.
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Computer Science (SpringerNature-11645)
based on 0 review(s)
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W9451862
電子資源
11.線上閱覽_V
電子書
EB TJ163.12 .A78 2023
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