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Year: 2019, Volume: 19, Number: 4
... paper, a novel ANN III. ARTIFICIAL NEURAL NETWORK MODEL based approach by using hybrid DSA training method is ... parameter variables and are referred to as learning or adaptive models [11]. In order to train an ... is used and applied. Since a power system is modeled data with suitable coefficients as representation of as set ...
142. Analysis and Control of a New Dual-input Impedance-based DCÂ…DC Converter for Hybrid PV-FC Systems
Year: 2019, Volume: 19, Number: 4
... , W. Qiao, L. Qu, "Modeling and Control of a Three-Port DC- DC Converter ... 200 ANALYSIS 200 In this section, a power loss model is developed. This (a) (b ... gain at a lower duty cycle and at inductor is modeled by magnetizing inductance Lm, an ideal lower losses ...
Year: 2019, Volume: 19, Number: 4
... Impedance matching circuits play a crucial part in They analyzed the circuit and derived a model for tri-band microwave engineering for enabling circuits to achieve operation. For multi-band optimization ... mathematical analysis for the transmission line transmission line transformer extended from a two section transformer modelling is described. In Section III the concept was investigated by Chongcheawchamnan et al ...
Year: 2019, Volume: 19, Number: 4
... a) Ca=5cm Figure 3. Test platform model of the proposed magnetic flux measurement The model is ... , Xi'an, Kretov DA, "The development of models for assessment of the 2016, pp. 364-367 ... measurement, Epstein acquisition circuit. The proposed method is modeled and square and single sheet measurement are widely used ...
Year: 2019, Volume: 19, Number: 4
... can removing redundant information. The authors compare the be used to fit a classification model based on a priori classification capacity, and the proposed method presented knowledge; ... — Hyperspectral images (HIs) are characterized by Remote Sensing (RS), modeled as part of a supervised a higher spectral resolution than other images and have ...
Year: 2019, Volume: 19, Number: 4
... , X. Wang, W. Zhao, "Modeling of a complementary and modular linear flux-switching permanent magnet ... ) Split Ratio Optimization DSFELFSMSS is concluded as a better model compared to Split ratio can be defined as ratio ... are combined to excite HELFSMSS [7]. Numerous models of Digital Object Identifier 10.4316/AECE.2019.04002 11 1582-7445 ...
Year: 2019, Volume: 19, Number: 4
... INTRODUCTION photogrammetry applications, in reference [19] for modeling Interpolation is often used as one of the operations ... In reference [22], a bilinear interpolation gradient model for low-cost VLSI implementation was algorithm to demosaic images ... 11, no. 3, pp. 642-657, Models in Materials Science and Continuum Mechanics, 2014 March ...
148. Comparison of Classification Algorithms for Detecting Patient Posture in Expandable Tumor Prostheses
Year: 2020, Volume: 20, Number: 2
... algorithms were compared with each other using machine Numerous nonlinear modeling approaches are available in learning performance parameters. Accuracy ... that and F-score values are calculated and compared. successfully model nonlinear systems such as multivariate Consequently, support vector ... on finding hyperplanes that determine the maximum margin among the models of each class and the most suitable margin among ...
149. Design of an Adaptive Flux Observer for Sensorless Switched Reluctance Motors Using Lyapunov Theory
Year: 2020, Volume: 20, Number: 2
... generally worked in the magnetically saturated mode. A proper modeling of the nonlinear flux – current – angle ( ... mathematical for a sensorless switched reluctance motor. The observer model, and efficiently estimate the rotor position at high ... based on the measured voltage and current signals only. Model-based methods using AFO for state estimation are relatively simple ...
Year: 2020, Volume: 20, Number: 2
... segmented images extracted from brain MRIs using CNN. Various modeling approaches have been introduced in For comparison with deep ... outperforms the other state of the art Laplace Eigen maps model is designed to improve the methods, while maintaining ... the and is combined with a spatial prior 0.1 that models the magnetic consequence at 3T. This technique is ...
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