„Learning Control“

Suchergebnisse

9.512 Treffer

• Artificial Neural Networks in Food Processing – Modeling and Predictive Control
  Khadir, Mohamed Tarek 2021 De Gruyter
• Künstliche Intelligenz (KI) im Controlling
  Schäfer, Daniel 2021 GRIN Verlag
• Machine Learning for Finding Suboptimal Final Times and Coherent and Incoherent Controls for an Open Two-Level Quantum System
  Morzhin, O. V. ; Pechen, A. N.
• Experimental investigation and comparative machine-learning prediction of compressive strength of recycled aggregate concrete
  Salimbahrami, S. Reza ; Shakeri, Reza
• Partial caging: a clearance-based definition, datasets, and deep learning
  Welle, Michael C. ; Varava, Anastasiia ; Mahler, Jeffrey ; Goldberg, Ken ; Kragic, Danica ; Pokorny, Florian T.
• Elephant herding optimization using dynamic topology and biogeography-based optimization based on learning for numerical optimization
  Li, Wei ; Wang, Gai-Ge
• The Concept of Constructing an Artificial Dispatcher Intelligent System Based on Deep Reinforcement Learning for the Automatic Control System of Electric Networks
  Tomin, N. V.
• Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? – A proof-of-concept study
  Holder, Christopher ; Gnanadesikan, Anand
• Niching comprehensive learning gravitational search algorithm for multimodal optimization problems
  Bala, Indu ; Yadav, Anupam
• Numerical solution for high-dimensional partial differential equations based on deep learning with residual learning and data-driven learning
  Wang, Zheng ; Weng, Futian ; Liu, Jialin ; Cao, Kai ; Hou, Muzhou ; Wang, Juan
• Automated Defect Recognition on X-ray Radiographs of Solid Propellant Using Deep Learning Based on Convolutional Neural Networks
  Gamdha, Dhruv ; Unnikrishnakurup, Sreedhar ; Rose, K. J. Jyothir ; Surekha, M. ; Purushothaman, Padma ; Ghose, Bikash ; Balasubramaniam, Krishnan
• Online Learning of the Inverse Dynamics with Parallel Drifting Gaussian Processes: Implementation of an Approach for Feedforward Control of a Parallel Kinematic Industrial Robot
  Habich, Tim-Lukas ; Ortmaier, Tobias 2019 Gottfried Wilhelm Leibniz Universität Hannover
• Fluctuation-Induced Network Control and Learning – Applying the Yuragi Principle of Brain and Biological Systems
  2021 Springer Singapore
• Sample-based online learning for bi-regular hinge loss
  Xue, Wei ; Zhong, Ping ; Zhang, Wensheng ; Yu, Gaohang ; Chen, Yebin
• A scalable network intrusion detection system towards detecting, discovering, and learning unknown attacks
  Zhang, Zhao ; Zhang, Yong ; Guo, Da ; Song, Mei
• Deep reinforcement learning based home energy management system with devices operational dependencies
  Si, Caomingzhe ; Tao, Yuechuan ; Qiu, Jing ; Lai, Shuying ; Zhao, Junhua
• Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning
  Xia, Chunyang ; Pan, Zengxi ; Polden, Joseph ; Li, Huijun ; Xu, Yanling ; Chen, Shanben
• Prediction of Mechanical Properties of Steel Tubes Using a Machine Learning Approach
  Carneiro, Marcelo V. ; Salis, Turíbio T. ; Almeida, Gustavo M. ; Braga, Antonio P.
• Deep Learning-based Monocular Obstacle Avoidance for Unmanned Aerial Vehicle Navigation in Tree Plantations – Faster Region-based Convolutional Neural Network Approach
  Lee, H. Y. ; Ho, H. W. ; Zhou, Y.
• Machine Learning Neural-Network Predictions for Grain-Boundary Strain Accumulation in a Polycrystalline Metal
  Vieira, R. B. ; Lambros, J.