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Search results for: neural network
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Year: 2014, Volume: 14, Number: 4
... ] D. Maio, D. Maltoni, "Neural network based minutiae filtering in fingerprints," in ... . of the 14th International Conference on Pattern A simple and accurate method for fingerprint ridge Recognition, Brisbane, ... (Eds.), Biometrics: Personal Identification in Networked [22] D. Maio, D. ...
182. Efficient Shape Classification using Zernike Moments and Geometrical Features on MPEG-7 Dataset
Year: 2019, Volume: 19, Number: 1
... . 59-69, 2016. doi:10.1016/j.cviu.2015.11.011 neural network," in Signal Processing and Information Technology ... feature," in Research in Computational Intelligence and Communication Networks, 2017 IEEE Third International Conference features. The ... 59-69, 2016. doi:10.1016/j.cviu.2015.11.011 neural network," in Signal Processing and Information Technology, ...
Year: 2017, Volume: 17, Number: 4
... VI. APPLICATION In general, we always use convolutional neural network (CNN) to recognize the handwritten images ... characters and adjust the weight of CNN by back-propagation neural network (BPN). In this paper, we ... B, Haber R, "Optimal Tuning of a Networked and scope of applications", Expert Systems with ...
Year: 2017, Volume: 17, Number: 1
... by the National Key Basic Research technologies [7-9] are the radial basis function neural Project (973 Program) of China (2012CB215200), the National Natural ... (RBF), the wavelet neural network (WNN), support Science Foundation of China (51637005), the Fundamental Research Funds for the Central Universities ( ...
Year: 2017, Volume: 17, Number: 2
... transition probability Kim et al found significant decreases in reading speed We constructed a convolutional neural network (CNN) to between a group of elderly people aged between 60 ... 70 generate feature vectors that are fed into a fully-connected and a group of people aged between 40 and 50 [8]. Also, network (FC) ...
186. Transformer Core Saturation Fault Analysis using Current Sensor Signals and Thermal Image Features
Year: 2023, Volume: 23, Number: 4
... Resolution wavelet- Deep faults. Signal analysis techniques are applied in CT signals Convolutional Neural Network. Energy band-based values from current sensor signal and current sensor thermal image ... extract relevant information regarding inrush current Haralick features are used for differentiating transformer and harmonics [4]. Fault is detected using classification of core-based and load-based faults. ...
Year: 2017, Volume: 17, Number: 3
... . Many MPP tracking (FLC) MPPT technique [16-18], and the neural network methods have been proposed for this purpose. One of these is method ... 19-22]. However, the realization of artificial the Perturb and Observe Method (P &O) which is the most intelligence methods is overwhelmingly complex in the ...
Year: 2011, Volume: 11, Number: 3
... its derivatives. Since in these approaches, the Other clustering methods are based on neural networks clustering criterion is based on Euclidean distance between [32] -[ ... ]. The neural networks have the capability of the samples and calculated centers of clusters, inappropriate constructing an arbitrary nonlinear mapping from multiple value selection of the number ...
Year: 2014, Volume: 14, Number: 4
... . H. Zaabab, Qi-Jun Zhang, and M. Nakhla, "A neural network Regular Papers, vol. 61, no. 7, pp. ... allows to create a describing complex devices, like those found in integrated deterministic augmented network from circuit inspection. circuits. Moreover, based on recently-published works in this ...
Year: 2011, Volume: 11, Number: 2
... coating of CWF, turn length of CWF and winding Three-Phase Transformer Energization Using Artificial Neural pitch will be effective on the total SC of the MCG. In order ... , we need to calculate the SC in the following cases: node-to-node lumped capacitance network. Reference [7] ï‚· Capacitance between wire filaments in one turn ( ...
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