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Search results for: neural network
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Year: 2018, Volume: 18, Number: 3
... not improved in short interval until the next sign is classification using colour feature and neural network," In Intelligent found, but the Von Kries coefficients found in ... previous Control Power and Instrumentation (ICICPI), pp. 307-311, 2016. signs can be applied equally or with different weights. doi:10.1109/ICICPI.2016.7859723 ...
Year: 2018, Volume: 18, Number: 3
... new stochastic computing methodology 1 2 109. for efficient neural network implementation", IEEE Trans. II) ... number of bits from LFSR structure, the number Neural Networks and Learning Systems, 2015. doi:10.1109 ... TNNLS.2015.2413754 of bits n which are lead to the input of the DAC. In the [5] T ...
Year: 2018, Volume: 18, Number: 3
... [25] H. Mohammed, A. Meroufel, "Contribution to the Neural network 2017 doi:10.1109/TLA.2017.7910191. speed estimator for sensor-less fuzzy direct ... of torque [12] H. Amimeur, D. Aouzellag, R. Abdessemed, K. Ghedamsi, "Sliding application using double stars induction machine, ...
Year: 2018, Volume: 18, Number: 2
... have been introduced for speaker verification [1] and neural network (DNN) for age identification from voice ... approximately 4% absolute performance. Nowadays, deep neural networks (DNN) have improvement with the combination compared ... the best been the most popular approach in many machine learning standalone system. problems thanks to the introduction of ...
Year: 2018, Volume: 18, Number: 2
... presented in the paper is a class E inverter. Algorithm [21], Neural Network [22] and others. It is described in literature, especially ... connection with its All these methods were created by the observation of applications in induction cookers operating usually in the nature. Nature often inspires us. We try to ...
Year: 2018, Volume: 18, Number: 2
... PCA then use the result as input for a RFF Neural Network that improves the quality of cluster analysis. ... referred both convex and non- the familiarity with social networks results in intensive convex dimensionality reduction techniques. The ... method we employed PCA, a machine learning, social network services, social computing. statistical procedure that aims ...
Year: 2018, Volume: 18, Number: 2
... chopper stabilized IA accounts to Denison et al. for+ the chronic measurement of neural field potentials [14], or – – – vIN RG vOUT to ... . Manta, R. Ciobotariu, "Integrated System Based on -5 Wireless Sensors Network for Cardiac Arrhythmia Monitoring," Magnitude (dB) -10 Advances in Electrical ...
Year: 2018, Volume: 18, Number: 2
... 1-6. doi: 10.1109/ smoothing wind power using empirical mode decomposition and PEDES.2006.344322 neural network," Electric Power Systems Research, 2015, vol. 127, ... as a simple RC arms and filter, IG leakage impedances, and elements that network, with C sc being the rated capacitance and r sc the contribute to ...
Year: 2018, Volume: 18, Number: 2
... renewable Decomposition (EMD), the Radial Basis Function Neural energy and insufficient power grid capacity, all countries ... Vlasselaer, Wannes coefficients on building surfaces using artificial neural networks," Meert. "LS-SVM based spectral clustering ... regression for Energy and Buildings, vol.158, pp.1429-1441, Jan. 2018. predicting maintenance of industrial machines, ...
Year: 2018, Volume: 18, Number: 1
... modalities like repeatability, increased from AD subjects through the neural activity as in default- spatial as well as ... facilitating the discovery of medial temporal lobe. Disruption of networks of functional proper therapies and medicines. Our proposed ... have been used with different image activation in the dispersed network of cortical regions, modalities and with different classifiers ...
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