Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2016 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Beyerer, Jürgen (Επιμελητής έκδοσης), Niggemann, Oliver (Επιμελητής έκδοσης), Kühnert, Christian (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer Vieweg, 2017.
• Σειρά: Technologien für die intelligente Automation, Technologies for Intelligent Automation
• Θέματα: Engineering.; Knowledge management.; Data mining.; Computational intelligence.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Knowledge Management.

The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, September 29th, 2016. Cyber Physical Systems...

Πίνακας περιεχομένων:

• A Concept for the Application of Reinforcement Learning in the Optimization of CAM-Generated Tool Paths
• Semantic Stream Processing in Dynamic Environments Using Dynamic Stream Selection
• Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment
• A Modular Architecture for Smart Data Analysis using AutomationML, OPC-UA and Data-driven Algorithms
• Cloud-based event detection platform for water distribution networks using machine-learning algorithms
• A Generic Data Fusion and Analysis Platform for Cyber-Physical Systems
• Agent Swarm Optimization: Exploding the search space
• Anomaly Detection in Industrial Networks using Machine Learning. .