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.
- 1st ed. 2023.
- XII, 247 p. 112 illus., 89 illus. in color. online resource.
- 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.
9789811987908
10.1007/978-981-19-8790-8 doi
Engineering geology.
Artificial intelligence.
Mechatronics.
Geotechnical engineering.
Neural networks (Computer science) .
Geoengineering.
Artificial Intelligence.
Mechatronics.
Geotechnical Engineering and Applied Earth Sciences.
Mathematical Models of Cognitive Processes and Neural Networks.
TA703-705.4
624.15
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.
9789811987908
10.1007/978-981-19-8790-8 doi
Engineering geology.
Artificial intelligence.
Mechatronics.
Geotechnical engineering.
Neural networks (Computer science) .
Geoengineering.
Artificial Intelligence.
Mechatronics.
Geotechnical Engineering and Applied Earth Sciences.
Mathematical Models of Cognitive Processes and Neural Networks.
TA703-705.4
624.15