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Arshad B. Salih
Northern Technical University

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Enhancement of motor speed identification using artificial neural networks Arshad B. Salih; Zuhair Shakor Mahmood; Ardm Haseeb Mohammed Ali; Ali Najdet Nasret
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i3.pp1388-1396

Abstract

In this study have been utilized a modified version of ant colony optimization to improve the thresholds of neural networks and weights by including therank-weight approach. Furthermore, this technique easily overcome the drawbacks speed up convergence into the minimum while training the backpropagation neural network. The improved ant colony optimization-backpropagation neural.not only has the capacity to map extensively, but it also enhances operating efficiency noticeably, according to the simulation findings. The simulation results revealed that the speed sensor replaced with the ant colony optimization rw-optimized back propagation neural network-speed identification and motor’s speed determined using this approach the result is satisfactory.
Co-Authors Ali Najdet Nasret Ardm Haseeb Mohammed Ali Zuhair Shakor Mahmood