Titlebook: Artificial Intelligence in Mechatronics and Civil Engineering; Bridging the Gap Ehsan Momeni,Danial Jahed Armaghani,Aydin Azizi Book 2023 T

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Feasibility of Artificial Intelligence Techniques in Rock Characterization,e a meaningful relationship between the considered input parameter and UCS. Additionally, it is recommended to consider input parameters thatare approximately independent of each other. On the other hand, the reviewed studies suggestutilizing relatively large datasets for developing intelligent mode

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The Interviews: Preliminary Work most important findings and solutions. Among the existing techniques, machine learning seems to be the most suitable and accurate in estimating settlement induced by tunnelling. These techniques, with their behind calculations and assumptions, are able to identify the best relations between indepen

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The Visible Psychosocial Agentsis part is categorized into five subsections: iterative learning, parametric optimization, identification, controller tuning, and control problems as stabilization. Finally, in the conclusion of the chapter, the main challenges in improvements of intelligent control methods are listed.

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