„Learning Control“
Suchergebnisse
9.512 Treffer
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On the cover of this Issue: Machine Learning Neural-Network Predictions for Grain-Boundary Strain Accumulation in a Polycrystalline Metal by R.B. Vieira and J. Lambros
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Iterative learning control of two-dimensional discrete systems in General model
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Green machine learning via augmented Gaussian processes and multi-information source optimization
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Air Control Toolbox (ACT_v1.0): a machine learning flexible surrogate model to explore mitigation scenarios in air quality forecasts
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The prediction of aquifer groundwater level based on spatial clustering approach using machine learning
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Prediction of product roughness, profile, and roundness using machine learning techniques for a hard turning process
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Application of Machine Learning for Online Reputation Systems
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Research on Transfer Learning of Vision-based Gesture Recognition
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Incremental learning of iterated dependencies
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A Community-enabled Readiness for first 1000 Days Learning Ecosystem (CRADLE) for first-time families: study protocol of a three-arm randomised controlled trial
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EKF-based self-attitude estimation with DNN learning landscape information
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Boundary Control Approach to the Spectral Estimation Problem: The Case of Simple Poles
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Analog to Digital, Revisited: Controlling the Accuracy of Reconstruction
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Consensus tracking via quantized iterative learning control for singular nonlinear multi-agent systems with state time-delay and initial state error
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An application of active learning Kriging for the failure probability and sensitivity functions of turbine disk with imprecise probability distributions
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A dynamic clustering technique based on deep reinforcement learning for Internet of vehicles
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Energy-Saving for a Velocity Control System of a Pipe Isolation Tool Based on a Reinforcement Learning Method
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Variable-length image compression based on controllable learning network
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Large-scale digital mapping of topsoil total nitrogen using machine learning models and associated uncertainty map
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A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping