145 citations · 208 across the 11 of their papers we have counts for
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cs.LG2019★ 31 cited
Interpretable PID Parameter Tuning for Control Engineering using General Dynamic Neural Networks: An Extensive Comparison
Johannes Günther, Elias Reichensdörfer, Patrick M. Pilarski +1
Modern automation systems rely on closed loop control, wherein a controller interacts with a controlled process, based on observations. These systems are increasingly complex, yet…
cs.LG2019
A Comparison of Prediction Algorithms and Nexting for Short Term Weather Forecasts
Michael Koller, Johannes Feldmaier, Klaus Diepold
This report first provides a brief overview of a number of supervised learning algorithms for regression tasks. Among those are neural networks, regression trees, and the recently…