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Search results for: fuzzy network
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Year: 2020, Volume: 20, Number: 2
... . Mathematically, Gil et al. have developed a fuzzy model for determining travel and delay times on a ... a prediction model for the models such as artificial neural networks (ANNs) have been activities of companies [ ... ARIMA is widely Machine (SVM), Autoregressive Neural Network, LSTM, used because of its simplicity and ...
Year: 2018, Volume: 18, Number: 3
... Tracking, Copyright of ND images using texture features and fuzzy support infringement, etc. Efficient near duplicate detection ... copyright protection, feature extraction, image processing, neural networks. I. INTRODUCTION a) Original Image b ... Volume 18, Number 3, 2018 Pulse Coupled Neural Network based Near- Duplicate Detection of Images (PCNN ...
43. Impact of Photovoltaic Systems Allocation on Congestion in Distribution Network: Iraq Case Study
Year: 2022, Volume: 22, Number: 2
... installing the PVDGs gives many benefits to the used the fuzzy method with Dempster-Shafer (DS) to power system ... However, in the current work, the Iraqi distribution networks based on Geographic Information power system network had been ... 2022 Impact of Photovoltaic Systems Allocation on Congestion in Distribution Network: Iraq Case Study Hussein Mohammed BADR1, 2 ...
Year: 2017, Volume: 17, Number: 3
... , Sample Entropy and T-Code) to Systems based on fuzzy logic are often used in clustering compute the information ... Karlikb, "Fuzzy clustering neural network Fuzzy entropy (FuzzyEn) [39] is another measure of architecture ... classification of ECG arrhythmias", Computers in Biology and Medicine, vol. 36, pp. 376-388, ...
Year: 2023, Volume: 23, Number: 2
... , pp. 183 – 190, using DWT based fuzzy approximate entropy and support vector 2017. doi: ... a dataset of features extracted from the EEG convolutional neural networks and support vector machines. signal, and the ... classes of epilepsy. the performance of the convolutional neural network (CNN) In general, two tasks are ...
Year: 2017, Volume: 17, Number: 3
... to support vector diagnosis in power distribution systems based on fuzzy ARTMAP classification," Department of Computer Science, ... [17], the In power systems, distribution networks deliver electrical grid search method (GSM) has ... SVM) parameters used for electrical mapping, artificial neuron network (ANN) has been widely fault diagnosis in ...
Year: 2020, Volume: 20, Number: 3
... FOR EXPERIMENT The authors in [26] performed a Fuzzy Medical Image AD Number of Age No.of Male/ ... /j.nicl.2014.08.023. nonlinear dynamics, artificial neural networks and neuro-fuzzy [3] U. R. Acharya, ... . L. Fernandes, J. E. Wei Koh, E. J. Ciaccio, M. ...
Year: 2009, Volume: 9, Issue: 3
... intelligence (AI) methods e.g. neural networks, fuzzy logic, the research is to prevent system faults ... Online fault diagnosis neuro-fuzzy schemes, evolutionary programming, expert has been studied. Design of fault diagnosis has two ... Electric motors play a very significant role in DiscreteWavelet Analysis FuzzyCluster the safety and efficient operation of industrial plants. ...
Year: 2017, Volume: 17, Number: 3
... iss. 2, pp. 56- Infrastructure Using Fuzzy Logic Controller," IEEE Transactions on 58, ... load factor in the power that, in the power network, the load factor can be improved network. ... a) TABLE VII. POWER LOSSES IN THE POWER NETWORK'S LINES OF THE 300 STUDIED SYSTEM Wed. Thu ...
Year: 2018, Volume: 18, Number: 2
... effective networked control. Paper [17] proposed a fuzzy control method by studying the stability 1 This research ... Vlasselaer, Wannes coefficients on building surfaces using artificial neural networks," Meert. "LS-SVM based spectral clustering ... Neural energy and insufficient power grid capacity, all countries Network (RBF) and the Least Square Support Vector ...
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