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Search results for: neural network
270 results found containing all search terms.
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Year: 2010, Volume: 10, Issue: 3
... torque demands without employing a sensor. including Kalman filters, fuzzy logic, and neural network The proposed system performs very well for a sensorless observers to obtain the ... position angle [10], [11]. operation and effectively eliminates the harmonics due to the LP filter. Recently, researchers have tried to reduce the ...
Year: 2011, Volume: 11, Number: 4
... proper functioning. oscillations around the MPP, while fuzzy control, genetic algorithms or neural network prediction are more precise but Index Terms — photovoltaic systems, dc-dc power ... , also more complex, requiring more processing time and nonlinear dynamical systems, bifurcation, chaos, monodromy matrix, saltation matrix. computational power. The same method ...
Year: 2013, Volume: 13, Number: 2
... modeling, magnetic materials, magnetic hysteresis, compared with measurements [15] and neural network numerical analysis. hysteresis modeling was included in FEM analysis [16] ... The modeling of steel laminations in the FEM analysis of I. INTRODUCTION transformers or electrical machines [17] is very useful in The magnetic hysteresis complexity [1 ...
Year: 2010, Volume: 10, Issue: 1
... various algorithms in multi agent system so In this connection, the use of artificial neural networks far has share of duties, negotiation, learning and searching such that ... can get information from environment with need to various forms of communication among agents. In the possibility to give agents some algorithm to improve the paper we attempt to ...
Year: 2017, Volume: 17, Number: 1
... the application of method described in supported by fuzzy logic [10] or artificial neural networks [7] for detection of broken rotor bar based on vibration [ ... ]. Finite element method (FEM) can be used to obtain signal analysis, which will be explained in the sequel. valid fault model [12] ...
Year: 2016, Volume: 16, Number: 3
... equation, or the quantum NEGF concentrations as well as of any other ionized or neural method. We assume that the doping sensitivity functions of impurities existent in the ... algorithm that we present below can be applied to current and potentials in the circuit network. any transport model that can be used to simulate the C-V  N1 ...
Year: 2014, Volume: 14, Number: 2
... ) precedes the edges at the related points where the gradient clustering, and artificial neural network (ANN) for OD has the highest value. region's segmentation. ... experimental results show that The main contribution of this work is to develop an the overall disc segmentation results using ACM and ANN automatic system for unsupervised D&S ...
Year: 2020, Volume: 20, Number: 3
... objects in the same way as humans. contents. They trained a deep convolutional neural network RealSense cameras have three lenses: a conventional to design a loss function ... edge-preserving smoothing RGB (Red Green Blue) camera, an infrared (IR) camera and which runs faster than most state-of-the-art smoothing an infrared laser projector. All ...
Year: 2017, Volume: 17, Number: 2
... due to better classification accuracy hyperspectral image classification. Also, denoising can than artificial neural network(ANN)[16]. Therefore, improve spatial classification accuracy ... used with researchers are focused on important strategies for designing spatial processing techniques. SVM such relevance kernel function selection, kernel Therefore, denoising in hyperspectral image classification parameter ...
Year: 2017, Volume: 17, Number: 4
... . Efford, L. J. Keen, A. McLellan, J. Neural Computation, vol. 10, no. 5, pp. 1299-1319, ... KPCA maps PMU data from original Monitoring System (WAMS) which consists of a network of space to feature space, we can extract the main information PMUs including ...
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