Kansikuva

Artificial Intelligence in Mechatronics and Civil Engineering Bridging the Gap /

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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Yhteisötekijä: SpringerLink (Online service)
Muut tekijät: Momeni, Ehsan (Toimittaja), Jahed Armaghani, Danial (Toimittaja), Azizi, Aydin (Toimittaja)
Aineistotyyppi: Elektroninen E-kirja
Kieli:englanti
Julkaistu: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Painos:1st ed. 2023.
Sarja:Emerging Trends in Mechatronics,
Aiheet:
Engineering geology.
Artificial intelligence.
Mechatronics.
Geotechnical engineering.
Neural networks (Computer science) .
Geoengineering.
Artificial Intelligence.
Geotechnical Engineering and Applied Earth Sciences.
Mathematical Models of Cognitive Processes and Neural Networks.
Linkit:https://doi.org/10.1007/978-981-19-8790-8
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Sisällysluettelo:
  • 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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