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Search results for: fuzzy network
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Year: 2019, Volume: 19, Number: 3
... laboratory, applications. The use of classifiers based on Fuzzy models is where the insulators were divided into three ... 2019 Spectral Subband Centroid Energy Vectors Algorithm and Artificial Neural Networks for Acoustic Emission Pattern Classification Marcus Tulius Barros FLORENTINO1 ... proposes the use of artificial about a new artificial neural network training algorithm was neural networks (ANN) for ...
Year: 2011, Volume: 11, Number: 2
... L> 0, G ƒŽ R, processing, fuzzy control, and chaos synchronization. In C ƒŽ ... A New Filter Design Method for Disturbed Multilayer Hopfield Neural Networks Choon Ki AHN Faculty of the Department of Automotive ... the states of neural Consider the following multilayer Hopfield neural network networks using measurements and then use the estimated with ...
Year: 2017, Volume: 17, Number: 4
... Anjan Bose. "Bottlenecks in parallel algorithms for Kang fuzzy models for Anti-lock Braking Systems," Applied Soft ... , easier upgradeability, improved resilience of the Power distribution networks are part of the electric system etc. In ... , Number 4, 2017 Load Balancing of Large Distribution Network Model Calculations Lajos MARTINOVIC1,2, Darko CAPKO1 ...
Year: 2021, Volume: 21, Number: 3
... based on the combined approach of particle swarm optimization and Fuzzy C-Means (FCM) The Kaggle dataset contains 35 ... Diabetic Retinopathy Disease with Transfer Learning using Deep Convolutional Neural Networks Krishnamoorthy SOMASUNDARAM1, Paulraj SIVAKUMAR1, Durairaj SURESH2 1 ... In general, using deep information, a Convolutional Neural Network (CNN) models which possesses an image with ...
Year: 2018, Volume: 18, Number: 3
... 18, Number 3, 2018 Design of an Adaptive Fuzzy Control System for Dual Star Induction Motor Drives Lamia ... The second stability theory (AFLC) recalculates the real-time PI-fuzzy disadvantage lies in the tracking phenomenon when a load ... , A. Meroufel, "Contribution to the Neural network 2017 doi:10.1109/TLA.2017.7910191. speed estimator ...
Year: 2019, Volume: 19, Number: 2
... to society and fines to the energy utility. and fuzzy logic. However, it is not considered a ... Consumer Unit. The proposed The analysis of power distribution networks has been methodology consists in choosing feeders to receive ... impact on the system level of medium voltage in distribution network. However, operation since it is related to ...
Year: 2017, Volume: 17, Number: 4
... , 2017 Five Level Cascaded H-Bridge D-STATCOM using a new Fuzzy and PI Controllers model for Wind Energy Systems Kenan ... energy, flexible AC transmission these structures, PI and fuzzy-PI based controllers for two- systems, current control ... fuzzy logic, proportional control. level inverter are used [12-16]. The choice of modulation technique is ...
Year: 2018, Volume: 18, Number: 4
... aerodynamic shape of UAV without time consuming and Adaptive Neuro Fuzzy Inference Systems (ANFIS) to complexity caused by ... profile using Genetic Algorithm (GA) intelligence, neural networks, optimization. enhanced with an Artificial Neural Network ... . In wind tunnel method, study, Artificial Neural Network (ANN) based objective function is optimized with ...
Year: 2010, Volume: 10, Issue: 3
... J. W., 1997, Matlab Supplement to Fuzzy and Neural IMechE, Part C: J Mech ... Terms €” bearing damage, vibration analysis, MLP neural networks, feature extraction, condition monitoring II. STATISTICAL ... aimed to track the aging trend a new MLP neural network approach is introduced. The of the incipient bearing ...
Year: 2020, Volume: 20, Number: 3
... Volume 20, Number 3, 2020 Edge-preserving Filtering and Fuzzy Image Enhancement in Depth Images Captured by Realsense Cameras ... . P. Verma, C. Khanna, "Fuzzy-Contextual Contrast [55] J. Kramer, M ... Scheutz, "Development environments for au- Enhancement", IEEE Transactions on Image Processing, Volume: 26 ...
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