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1-4 of 4
Keywords: Neural network
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Journal Articles
Neural network based harmonic elimination in single-phase inverters
Available to Purchase
COMPEL (2023) 42 (2): 543–564.
Published: 26 August 2022
...Zeynep Bala Duranay Purpose This study aims to present the experimental results for neural network (NN) based harmonic elimination technique for single-phase inverters. Design/methodology/approach Switching angles applied to power switches are determined using the NN technique based...
Journal Articles
Neural network inverse model for multi-band unequal Wilkinson power divider
Available to Purchase
COMPEL (2022) 41 (5): 1604–1617.
Published: 04 March 2022
...Tarek Sallam; Ahmed M. Attiya Purpose The purpose of this paper is to build a neural network (NN) inverse model for the multi-band unequal-power Wilkinson power divider (WPD). Because closed-form expressions of the inverse input–output relationship do not exist, the NN becomes an appropriate...
Journal Articles
Neural control of robot manipulators considering motor voltage saturation: performance evaluation and experimental validation
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COMPEL (2021) 40 (1): 27–29.
Published: 27 November 2020
... on the applied voltages from the controller. Due to the universal approximation property of RBFN, uncertainties including un-modeled dynamics and external disturbances are represented with this powerful neural network. Then, the lumped uncertainty including the nonlinearities imposed by actuator saturation...
Journal Articles
Modeling of anisotropic magnetostriction under alternating magnetization based on neural network-FFT model
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COMPEL (2017) 36 (6): 1706–1714.
Published: 06 November 2017
... waveform, and the principal strain is computed in terms of the in-plane strain formula. A three-layer feed-forward neural network model is proposed to model the measured magnetostriction property of the electrical steel sheet. Findings The principal strain of magnetostriction of the non-oriented...
