An optimized radial basis function neural network with modulation-window activation function
H Lin, H Dai, Y Mao, L Wang - Soft Computing, 2024 - Springer
It is a crucial basis to improve the performance of neural network by constructing an
appropriate activation function. This paper proposes a novel modulation window radial basis …
appropriate activation function. This paper proposes a novel modulation window radial basis …
[HTML][HTML] Neural Network Trajectory Tracking Control on Electromagnetic Suspension Systems
A new adaptive-like neural control strategy for motion reference trajectory tracking for a
nonlinear electromagnetic suspension dynamic system is introduced. Artificial neural …
nonlinear electromagnetic suspension dynamic system is introduced. Artificial neural …
[PDF][PDF] HIGHLY ROBUST TRAINING OF REGULARIZED RADIAL BASIS FUNCTION NETWORKS.
J Kalina, P Vidnerová, P Janacek - Kybernetika, 2024 - kybernetika.cz
Radial basis function (RBF) networks represent established tools for nonlinear regression
modeling with numerous applications in various fields. Because their standard training is …
modeling with numerous applications in various fields. Because their standard training is …
[引用][C] Neural network trajectory tracking control on electromagnetic suspension systems
J Rosas-caro - REPOSITORIO SCRIPTA; REPOSITORIO NACIONAL …, 2023 - MDPI
[引用][C] Highly robust training of regularized radii basis feature networks
J Kalina, P Vidnerová, PJ DOI