This book is intended to be used as a textbook in undergraduate civil engineering and construction courses to introduce cutting edge mechanical, electrical and computer science topics that are needed for civil and construction engineers to collaborate in inter-disciplinary automation projects.
This book is intended to be used as a textbook in undergraduate civil engineering and construction courses to introduce cutting edge mechanical, electrical and computer science topics that are needed for civil and construction engineers to collaborate in inter-disciplinary automation projects.
Benny Raphael is a professor in the Department of Civil Engineering at IIT Madras, India.
Inhaltsangabe
1. Introduction to automation 2. Hardware for automation 3. Software for automation 4. Application: building Automation 5. Application: construction automation 6. Introduction to machine learning 7. Basic mathematics for machine learning 8. Regression 9. Classification task 10. Inductive learning - decision trees and random forests 11. Unsupervised learning algorithms Epilogue
1. Introduction to automation 2. Hardware for automation 3. Software for automation 4. Application: building Automation 5. Application: construction automation 6. Introduction to machine learning 7. Basic mathematics for machine learning 8. Regression 9. Classification task 10. Inductive learning - decision trees and random forests 11. Unsupervised learning algorithms Epilogue
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