Sign Up to like & get
recommendations!
0
Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3147-9
Abstract: This paper is mainly aimed at developing an off-line supervision approach geared to complex processes. This approach consists of two parts: the first part is the fault detection and isolation and the second one is…
read more here.
Keywords:
neural pca;
gain scheduling;
multilayer neural;
supervision approach ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04058-3
Abstract: In traditional neural trees (NTs), each internal node is designed as a neural network (NN), such as single- or two-layer neural networks, to determine which branch should be followed for an input sample. Because each…
read more here.
Keywords:
classification;
network;
structured multilayer;
multilayer neural ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.08.034
Abstract: Abstract A hybrid learning algorithm suitable for hardware implementation of multi-layer neural networks is proposed. Though backpropagation is a powerful learning method for multilayer neural networks, its hardware implementation is difficult due to complexities of…
read more here.
Keywords:
neural networks;
hybrid propagation;
multilayer neural;
backpropagation ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2019 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2018.2886773
Abstract: This paper focuses on developing an advanced nonlinear controller for hydraulic system to achieve asymptotic tracking with various disturbances. To accomplish this study, a multilayer neural-networks (NNs) estimator is first developed to improve the compensation…
read more here.
Keywords:
rise control;
control;
rise;
neural networks ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3130748
Abstract: To realize the robust control of multirotor unmanned aerial vehicle (UAV) systems, adaptive multilayer neural dynamics (AMND) controllers are proposed and analyzed. The proposed AMND controllers with the strong anti-perturbation property can drive multirotor UAVs…
read more here.
Keywords:
neural dynamics;
control;
multirotor;
multilayer neural ... See more keywords