OPAC

Artificial Intelligence in Mechatronics and Civil Engineering : Bridging the Gap / edited by Ehsan Momeni, Danial Jahed Armaghani, Aydin Azizi
(Emerging Trends in Mechatronics. ISSN:27314863)

データ種別	電子ブック
版	1st ed. 2023.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2023
大きさ	XII, 247 p. 112 illus., 89 illus. in color : online resource
著者標目	Momeni, Ehsan editor Jahed Armaghani, Danial editor Azizi, Aydin editor SpringerLink (Online service)

URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0001814	Computer Scinece R0 2005-6,2022-3				9789811987908

一般注記	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 HTTP:URL=https://doi.org/10.1007/978-981-19-8790-8
件　名	LCSH:Engineering geology LCSH:Artificial intelligence LCSH:Mechatronics LCSH:Geotechnical engineering LCSH:Neural networks (Computer science) FREE:Geoengineering FREE:Artificial Intelligence FREE:Mechatronics FREE:Geotechnical Engineering and Applied Earth Sciences FREE:Mathematical Models of Cognitive Processes and Neural Networks
分　類	LCC:TA703-705.4 DC23:624.15
書誌ID	EB00001202
ISBN	9789811987908