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Search results for: neural network
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Year: 2021, Volume: 21, Number: 2
... , M. Liu, "Self-learning interval type-2 fuzzy neural doi:10.1109/TIA.2003.821667 network controllers for trajectory ... , for online learning as applied to type-2 fuzzy neural networks and its Man, Cybern. B, Cybern ... the principles of general type-2 fuzzy controller for urban traffic network," ISA sliding mode, direct torque control ...
Year: 2012, Volume: 12, Number: 4
... Wavelet 2008, pp. 323-328. Transforms and Back-propagation Neural Networks, International Journal of Control, Automation, ... Systems, vol. 4, no. 3, June [14] Kashyap, K.H., Shenoy ... , pp.423-426. tem by Using Strata Hierarchical Artificial Neural Network, Power and Energy Engineering Conf., APPEEC ...
Year: 2019, Volume: 19, Number: 3
... convolution A new descriptor based on the difference of consecutive neural network. Zampoglou et al., [28 ... authenticate any video. Due to this shared on social networks to make false propaganda. During reason, passive ... A new descriptor based on the difference of consecutive neural network. Zampoglou et al., [28] ...
134. Gaussian Source Coding using a Simple Switched Quantization Algorithm and Variable Length Codewords
Year: 2020, Volume: 20, Number: 4
... [14], analog-to-digital converters [15] or neural networks [16]. Scalar quantization is a ... where real-valued The emphasis in this paper is on logarithmic μ-law samples generated by the input source are mapped to ... proposed the Gaussian pdf, e.g. weights in neural network. quantizer (N1= 32, N2= ...
Year: 2024, Volume: 24, Number: 1
... . 165 renewable power generation and electric vehicles," Neural. Comput. pp. 374 – 406, ... ) in discharging capabilities of plug-in hybrid electric vehicles power networks has been considered as an effective (PHEVs) ... PHEVs can deliver power back to the an external electricity network. In order to model the power grid during ...
Year: 2014, Volume: 14, Number: 4
... [ -6.4, 6.35]. c) Artificial Neural Network Training (ANN) Test functions, including ... Proceedings of the IEEE International Conference on Neural 2007. Networks, 1995, pp. 1942 – 1948. ... 2] F. Herrera, M. Lozano, and J. L. Verdegay, "Tackling real-coded ...
Year: 2021, Volume: 21, Number: 1
... II. RELATED WORKS [14], and Deep Neural Networks [27-28]. However, several Several ... the top part of the figure and a two-cycle communication networks technologies has successfully anomaly heart sound signal in the ... benchmark suite for the (PCG) using deep neural network," Phys Eng Sci Med 43, pp ...
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 ...
139. Active Disturbance Rejection Control Applied to a Three-Phase Grid-Connected Photovoltaic System
Year: 2022, Volume: 22, Number: 1
... combined with such as fuzzy logic control FLC, artificial neural network incremental conductance (ADRC_IncCond) is used to ... Decision and Control, 2007, pp. 3501-3506. networks MPPT controller: review, simulation and hardware doi ... 10.1109/CDC.2007.4434676 implementation," Renewable and Sustainable Energy Reviews, vol. [27] S. Shao ...
140. Design of an Adaptive Flux Observer for Sensorless Switched Reluctance Motors Using Lyapunov Theory
Year: 2020, Volume: 20, Number: 2
... signal processor-DS1102 control Recently, the intelligence algorithms as artificial neural board. The simulation and experimental results of the ... (ANN), fuzzy logic have been employed [16-18]. proposed sensorless scheme demonstrate the accurate In ... ," IEEE switch-based switched reluctance motor drive using neural network," Transactions Power Electronics, vol. 34 ...
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