Intelligent Predictive Systems
AI and Machine Learning in Engineering
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Beschreibung
The introduction of AI and ML technologies has brought new changes to the engineering profession. This book presents the theory and practical solutions backed with real results. It also explains in detail the uses of Machine Learning methods, Gene Expression Programming, Extreme Gradient Boosting, and Deep Neural Networks in predicting parameters that are critical in understanding soil behavior, foundation settlements, material behavior, resource consumption, and beyond. One focal point is the shift from opaque models to transparent, accountable AI. The integration of AI methods is elucidated to clarify decisions made by predictive models and instill trust in the predictive systems. Additionally, the book addresses the issue of sustainability by demonstrating how AI can refine the utilization of industrial by-products such as fly ash and marble slurry in the construction sector and improve the efficiency of public transportation systems.
The introduction of AI and ML technologies has brought new changes to the engineering profession. This book presents the theory and practical solutions backed with real results. It also explains in detail the uses of Machine Learning methods, Gene Expression Programming, Extreme Gradient Boosting, and Deep Neural Networks in predicting parameters that are critical in understanding soil behavior, foundation settlements, material behavior, resource consumption, and beyond. One focal point is the shift from opaque models to transparent, accountable AI. The integration of AI methods is elucidated to clarify decisions made by predictive models and instill trust in the predictive systems. Additionally, the book addresses the issue of sustainability by demonstrating how AI can refine the utilization of industrial by-products such as fly ash and marble slurry in the construction sector and improve the efficiency of public transportation systems.
Presents the theory and practical solutions of using AI and ML in engineering, backed with real results Includes methods such as Gene Expression Programming, Extreme Gradient Boosting, and Deep Neural Networks Addresses the issue of sustainability by demonstrating how AI can refine the utilization of industrial by-products
Autor*in
Masoomeh Mirrashid
Themen in »Intelligent Predictive Systems«
Concrete strength Foundation Settlement Prediction Fly Ash Marble Slurry Waste Ground Settlement Prediction California Bearing Ratio Estimation Waste-Treated Soil Genetic Expression Programming Deep Neural Network Models Ridge Regression