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

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...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Beyerer, Jürgen (Editör), Niggemann, Oliver (Editör), Kühnert, Christian (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg : 2017.
Imprint: Springer Vieweg,
Edisyon:1st ed. 2017.
Seri Bilgileri:Technologien für die intelligente Automation, Technologies for Intelligent Automation,
Konular:
Computational intelligence.
Data mining.
Knowledge management.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Knowledge Management.
Online Erişim:Full-text access
İçindekiler:
  • 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. .

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