Extraction of voltage harmonics using multi-layer perceptron neural network
Neural Computing and Applications, 2007 This paper presents a harmonic extraction algorithm using artificial neural networks for Dynamic Voltage Restorers (DVRs). The suggested algorithm employs a feed forward Multi Layer Perceptron (MLP) Neural Network with error back propagation learning to effectively track and extract the 3rd and 5th voltage harmonics. For this purpose, two different MLP
Mehmet Tümay +2 more
openaire +5 more sources
Carbonate texture identification using multi-layer perceptron neural network
Open Geosciences, 2023 This study proposes an approach to identifying carbonate rocks depositional texture utilizing more than 1250 thin-section photos as a data set from shallow-water carbonates of the Kruja zone (Albania).
Fociro Oltion +5 more
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Cluster Membership of Galaxies Using Multi-Layer Perceptron Neural Network
Universe, 2022 In this study, we report systematic investigations of the membership of galaxies inside a cluster using a machine learning (ML) neural network. By directly assigning the membership, rather than estimating the galaxy redshift as an intermediate step, we ...
Yasuhiro Hashimoto, Cheng-Han Liu
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Multi-Layer Perceptron-Based Forecasting Model of Biomass and Coal Gasification [PDF]
Advances in Engineering and Intelligence Systems, 2022 In the present work, the multi-layer perceptron neural network is applied to model biomass gasification in the fixed-bed downdraft gasifier. Therefore, the multi-layer perceptron neural network is implemented to analyze and predict the gas composition in
Nikolaieva Oksana
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Estimation of Total Organic Carbon in Source Rocks by Using Back-propagation Artificial Neural Network and Passay Method-A Case Study [PDF]
Journal of Chemical and Petroleum Engineering, 2021 The purpose of this study is to calculate Total Organic Carbon (TOC) values of the Iranian field using a combination of sonic and resistivity logs (Passay method) and neural networks method in the conditions, where the core analysis or well-log ...
Amir Hossein Saeedi Dehaghani +3 more
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Determination of Sleep Apnea Severity Using Multi-Layer Perceptron Neural Network [PDF]
Sleep Medicine Research, 2020 Background and Objective Sleep apnea is a rather common illness, which occurs due to dyspnea during night sleep. The effects of this illness can cause problems in the patient’s life and affect its quality.
Zeinab Kohzadi +2 more
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BLDC Motors Sensorless Control Based on MLP Topology Neural Network
Energies, 2023 In order to reduce the complexity of the brushless DC motor (BLDC)-control-system algorithm while improving the estimation performance of the rotor phase position and the speed of the sensorless motor, a neural network (ANN) control algorithm based on ...
Guozhong Yao +3 more
doaj +1 more source
SN Applied Sciences, 2021 Considering the complexities and challenges in the classification of multiclass and imbalanced fault conditions, this study explores the systematic combination of unsupervised and supervised learning by hybridising clustering (CLUST) and optimised multi ...
A. Buabeng +3 more
semanticscholar +1 more source
Prediction commercial and cordwood volume of broadleaves using Artificial Neural Networks (Case study: Gorazbon distric of Kheyrood forest, Nowshahr) [PDF]
تحقیقات جنگل و صنوبر ایران, 2017 Decision-making in natural resources often leads to complexities beyond the statistical empirical methods,therefore we need new solutions than algorithmic methods.
Fatemeh Gorzin +3 more
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Artificial Neural Networks: Modeling and Comparison to Detect High Impedance Faults
IEEE Access, 2023 High impedance faults constitute one of the biggest challenges in electrical power systems. In overhead distribution systems, faults are caused by tree branches that touch the electrical grid or by the rupture of energized conductors on low conductivity ...
Andressa Tais Diefenthaler +4 more
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