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Search results for: fuzzy network
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Year: 2019, Volume: 19, Number: 3
... 36], support vector machine [37], fuzzy logic principles [38] SOC € SOC0 € ... , neural estimate the SOC value according to the corresponding networks. relationship between the open circuit voltage/resistance ... 19, Number 3, 2019 Modeling of Back-Propagation Neural Network Based State-of-Charge Estimation for Lithium- Ion Batteries with ...
Year: 2010, Volume: 10, Issue: 3
... job and Jota et al [14] used a fuzzy system operation events in distribution by combining a reasoning ... paper, a new approach based on the wavelet packet networks, Fault detection, High impedance fault, Wavelet ... , is used to discriminate the HIF current from packet. currents of capacitor switching, line and load switching ...
Year: 2011, Volume: 11, Number: 2
... a fault such as Expert System, Neural Network and Fuzzy Logic with pre-developed voltage sag database. From the ... 2011 Voltage Sags Matching to Locate Faults for Underground Distribution Networks Hazlie MOKHLIS1, Hasmaini MOHAMAD2, Haiyu LI3, ... a rural area. Thus, not much underground distribution network is presented in this paper. information can be ...
Year: 2018, Volume: 18, Number: 1
... is j j j defined that can be used of fuzzy controller with dynamics. Best solution is selected considering ... is a population based algorithm. Each chromosome is distribution networks serving 1000 houses with nominal exposed to mutation, ... , 2018 Optimization of Charge/Discharge Coordination to Satisfy Network Requirements Using Heuristic Algorithms in Vehicle-to-Grid Concept Ahmet DOGAN ...
75. A Method Based on Lorenz Disturbance and Variational Mode Decomposition for Wind Speed Prediction
Year: 2019, Volume: 19, Number: 2
... wind leads to the neural network (ANN), fuzzy logic, support vector machine instability of wind power ... . The methods are roughly divided combined with four neural networks, this paper develops a into three types: ... 1) As for wind speed prediction, Elman neural network has higher prediction accuracy and information such as terrain ...
Year: 2019, Volume: 19, Number: 4
... 22] while also used in papers focused on optimizing fuzzy and PID controller parameters [23, 24] ... order to use numerical methods, it is required neural networks, optimization, power system analysis to determine and ... Volume 19, Number 4, 2019 Hybrid Artificial Neural Network by Using Differential Search Algorithm for Solving Power Flow ...
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 ...
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