AI and Machine Learning for Mechatronic Systems
Energy, Predictive Maintenance and Autonomous Applications
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Beschreibung
This book gathers applied artificial intelligence and machine learning methods that supply exactly that layer, across autonomous vehicles, renewable-energy operations, and the condition monitoring of rotating machinery. Mechatronic systems increasingly depend on a layer of intelligence that turns sensor measurements into decisions and actions. It shows how learning-based models, from neural networks and ensemble regressors to reinforcement learning agents, are used to perceive, predict, and act within real mechatronic and energy systems.
This book gathers applied artificial intelligence and machine learning methods that supply exactly that layer, across autonomous vehicles, renewable-energy operations, and the condition monitoring of rotating machinery. Mechatronic systems increasingly depend on a layer of intelligence that turns sensor measurements into decisions and actions. It shows how learning-based models, from neural networks and ensemble regressors to reinforcement learning agents, are used to perceive, predict, and act within real mechatronic and energy systems.
Presents low-cost sensing, interpretable models, and evaluation on real field or benchmark data Gathers applied artificial intelligence and machine learning methods Exactly that layer Written by leading experts in the field
Autor*in
Aydin Azizi
Themen in »AI and Machine Learning for Mechatronic Systems«
Gradient Boosting Autonomous Driving Vehicles Photovoltaic Panels Wind Turbine Blades AI-Based Predictive Cleaning Ridge Regression