Zerrendatu Artikuluak-Ingeniaritza honen arabera: gaia "artificial neural network"
3-tik 1-3 emaitza erakusten
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Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control
(MDPI AG, 2019)This paper introduces a novel data driven yaw control algorithm synthesis method based on Reinforcement Learning (RL) for a variable pitch variable speed wind turbine. Yaw control has not been extendedly studied in the ... -
Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning Methods
(MDPI, 2021)Getting accurate lifetime predictions for a particular cell chemistry remains a challenging process, largely dependent on time and cost-intensive experimental battery testing. This paper proposes a transfer learning (TL) ... -
Neural Network Direct Control with Online Learning for Shape Memory Alloy Manipulators
(MDPI AG, 2019)New actuators and materials are constantly incorporated into industrial processes, and additional challenges are posed by their complex behavior. Nonlinear hysteresis is commonly found in shape memory alloys, and the ...