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Search results for: nonlinear systems
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Year: 2020, Volume: 20, Number: 3
... heads of the first model are rounded to form the nonlinear algebraic equations, while in the calculation of second ... and the radial forces, torque and into account the nonlinearity, by using finite element and inductance values are ... that the inductance values in motor," Electric Power Systems Research, vol. 145, pp. 214-222 ...
Year: 2020, Volume: 20, Number: 3
... to lead algorithms: type-1 and type-2. These two nonlinear techniques to the industrial processes of high performances [ ... , for their simplicity and efficiency to capture the severe nonlinearities of the DFIM, the interval type-2 fuzzy Digital ... Identifier 10.4316/AECE.2020.03008 65 1582-7445© 2020 AECE Advances in Electrical and Computer Engineering Volume 20, Number 3 ...
Year: 2020, Volume: 20, Number: 3
... sample. from the previous layer followed by applying a nonlinear 1 2 activation function. The complete feature maps ... zi,j ,k (L) to introduce nonlinearity property to the CNN is to extract the high-level ... Nature, vol.521, extraction techniques" Journal of Medical Systems, vol.43, no.9, no.1, pp.436 €“ ...
Year: 2020, Volume: 20, Number: 3
... conventional amplifier presence of noise or noise applied on a nonlinear system systems, which use operational amplifiers in linear ... spikes and bursts from human and generally detrimental to electronic systems because it limits animal neuronal tissue, both in ... Broadband neural encoding in the cricket https://www.multichannelsystems.com/products/microelectrode- cercal sensory system enhanced ...
... € m) pi 4 4 i €0 where b is bias, • is nonlinear mapping function, x is the where pi is a normalized cumulative histogram ( ... pixel-of-interest. This process was repeated for each pixel of all diagnosis (CAD) systems based on different algorithms in images, and the contrast stretching was applied into ...
Year: 2019, Volume: 19, Number: 4
... fitness for the number of bands using (2) of solutions in P. nonlinear surfaces, the feature vector is mapped to a larger Euclidean feature space using ... ", IEEE J. Sel. Topics Appl. oriented network provisioning in ultra-scale systems". European Earth Observ. Remote Sens., vol. 7, ...
Year: 2019, Volume: 19, Number: 4
... 5 ], gauss demosaicing was introduced, as real-time FPGA processing interpolation algorithms for nonlinear rational parameters for high-speed optical frequency domain, imaging was were presented in reference ... . doi:10.4316/AECE.2008.01012 Transactions on Very Large Scale Integration (VLSI) Systems, vol. [21] D. Bailey, S. Randhawa and ...
58. Comparison of Classification Algorithms for Detecting Patient Posture in Expandable Tumor Prostheses
Year: 2020, Volume: 20, Number: 2
... machine algorithms. These supervision. algorithms were compared with each other using machine Numerous nonlinear modeling approaches are available in learning performance parameters. Accuracy, recall, precision ... medicine. Methods that and F-score values are calculated and compared. successfully model nonlinear systems such as multivariate Consequently, support vector machine is determined as the polynomial regression ...
59. Design of an Adaptive Flux Observer for Sensorless Switched Reluctance Motors Using Lyapunov Theory
Year: 2020, Volume: 20, Number: 2
... observer was control of a switched reluctance motor. A nonlinear inductance model is developed based on a finite element ... the SRM is required to take into consideration the magnetic nonlinearities. A three-phase 6/4 SRM (six ... . 4, pp. variable coefficients" IET Energy Systems Integration, vol. 1, no. 3 ...
Year: 2020, Volume: 20, Number: 2
... (7) The convolutional layer is followed by a nonlinear where activation Rectified Linear Units (ReLU) layer ... activation volumes are gained from the combination of preceding The nonlinearity of convolutional layer is shown in layers into a ... Proposed approach for left hippocampus ROI extraction To compute the pre-nonlinearity input to the unit Xlij in layer in which ...
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