Automatic leaf segmentation using grey wolf optimizer based neural network

Author(s):  
Saban Ozturk ◽  
Bayram Akdemir
PLoS ONE ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. e0213237 ◽  
Author(s):  
Tarik A. Rashid ◽  
Dosti K. Abbas ◽  
Yalin K. Turel

Electronics ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 177
Author(s):  
Mateusz Zychlewicz ◽  
Radoslaw Stanislawski ◽  
Marcin Kaminski

In this paper, an adaptive speed controller of the electrical drive is presented. The main part of the control structure is based on the Recurrent Wavelet Neural Network (RWNN). The mechanical part of the plant is considered as an elastic connection of two DC machines. Oscillation damping and robustness against parameter changes are achieved using network parameters updates (online). Moreover, the various combinations of the feedbacks from the state variables are considered. The initial weights of the neural network and the additional gains are tuned using a modified version of the Grey Wolf Optimizer. Convergence of the calculation is forced using a new definition. For theoretical analysis, numerical tests are presented. Then, the RWNN is implemented in a dSPACE card. Finally, the simulation results are verified experimentally.


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