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Year: 2018, Volume: 18, Number: 2
... (RNN). higher level features are obtained from the lower level RNN trained with the traditional backpropagation through features and the same lower level features contribute to time algorithm have difficulties learning dependencies many higher level ones [9]. between the time steps which are far apart from each other In feed-forward DNN, the activation ...
Year: 2021, Volume: 21, Number: 4
... . The contributions presented control approach is represented via simulations. of this work are as follows. The primary concept of [20] is to introduce a new algorithm 1. MMC, which is one of the attractive converter topology to control DC-link voltage at the reference point for in recent years, is incorporated in the ...
Year: 2009, Volume: 9, Issue: 3
... in this paper. Motor/Generator for energy conversion. Synchronous Particle swarm optimization is used as the optimization Permanent Magnet (SPM) machines are mostly used in algorithm and the finite element-based simulations are used to EMBs because of the high torque to weight ratio, low rotor confirm the design and optimization process and show less ...
Year: 2013, Volume: 13, Number: 1
... 13]. It aims at process is being repeated. determining some salient regions. Thus, the proposed The process ends when the area reaches the right bottom algorithm uses a hexagonal representation of the image corner of the image, thus being covered all the pixels from pixels and a hyper graph structure to process this the ...
Year: 2010, Volume: 10, Issue: 1
... the case when the servo-system has unknown dynamics The aim of AGC system is to minimize the thickness and also time variable characteristics. Section sixth presents the on-line optimization algorithm, which offers the error variance, h= h* h. This objective can be attained adapting capacity of the control structure to the by using two ...
Year: 2013, Volume: 13, Number: 2
... state with the voltage regulation. Experiments have yielded the performances investigation [9]. reliability of this configuration during generator loading and In this paper an unbalances compensation algorithm is unbalanced loads supply. implemented for a three-phase induction generation Index Terms — micro hydro power plant, induction supplying unbalanced loads. Experimental investigations generator, phase ...
Year: 2010, Volume: 10, Issue: 3
... of the most favorite also called matrix data analysis. By using variable feedforward artificial neural network which uses a transform, correlated variables are changed into uncorrelated supervised learning algorithm. Basically, it has three layers; new variables, which is useful to data analysis and it is used input layer, pattern (hidden) layer ...
Year: 2010, Volume: 10, Issue: 3
... vahidi@aut.ac.ir Abstract — This paper proposed a novel technique to neutral grounded MV distribution systems, they introduced effectively discriminate between the HIF and the normal a new algorithm for their job and Jota et al [14] used a fuzzy system operation events in distribution by combining a reasoning system to identify HIF, their method ...
Year: 2019, Volume: 19, Number: 3
... technology. Contemporary SCADA systems surveys the related work and explains our motivation for this rely on standardized protocols instead of formerly used research. Section III provides the basic algorithm of the proprietary ones. This tendency is increasing with the proposed fuzzy AHP approach, with a detailed description ubiquitous implementation of smart grids, artificial of all ...
Year: 2016, Volume: 16, Number: 1
... controller. topology ensures the non-reversal of output voltage hence it is To extract maximum power from PV ports, DMPPT preferred mostly for battery charging applications. In this algorithm is used [9-10]. The proposed converter provides work, photovoltaic (PV) source is considered and the power high voltage gain under different operating modes ...
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