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Search results for: neural network
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Year: 2017, Volume: 17, Number: 3
... for complexity calculus, a cloud computing solution fuzzy clustering neural network architecture is proposed to with executable code deployment ... ] and another complex combination of K-Nearest Neighbors, neural networks and a Index Terms — complexity theory, decision ... , fuzzy system is described in [7 ], for four types of arrhythmia electrocardiography, random sequences, ...
Year: 2017, Volume: 17, Number: 2
... Lee, "Blind source separation and independent component analysis: a review," Neural Information The ability of proposed method is examined in the Processing-Letters and Reviews, ... optimally sparse," Communications on Pure and source separation for convolutive mixtures with neural networks," Applied Mathematics, vol. 58, no. 11, pp ...
Year: 2017, Volume: 17, Number: 2
... due to better classification accuracy hyperspectral image classification. Also, denoising can than artificial neural network(ANN)[16]. Therefore, improve spatial classification accuracy ... used with researchers are focused on important strategies for designing spatial processing techniques. SVM such relevance kernel function selection, kernel Therefore, denoising in hyperspectral image classification parameter ...
Year: 2017, Volume: 17, Number: 2
... R. Hecht-Nielsen, "The Mechanism of Thought", International Joint Conference on Neural Networks, Vancouver, Canada, pp. 419-426, proposed expert system is ... and its' execution time July, 16- 21 2006. doi:10.1109/IJCNN.2006.246712 lower than those of various well-known classifiers. Since [7] E. ...
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) ...
Year: 2017, Volume: 17, Number: 2
... J. Kennedy, R. Eberhart, "Particle swarm optimization", in Neural the art". Comput Methods Appl Mech Eng, vol. 191, ... , pp. Networks, Proceedings, IEEE International Conference on, vol. 4, pp. 1245-1287, 2002. doi:10.1016/S0045-7825(01) ...
Year: 2017, Volume: 17, Number: 2
... ] P. Sebastian, A. Pradeep, "A comparative Study of Artificial Neural [26] P. Rosin, E. Ioannidis, "Evaluation of ... Image Thresholding for Network Based Power Quality Signal Classification Systems with Change Detection," Pattern Recognition Letters, vol. 24, no. 14, pp. Wavelet ...
Year: 2017, Volume: 17, Number: 2
... . The reference value [4] C.H. Lin, "Hybrid recurrent wavelet neural network control of PMSM of the torque current component is 2 A and the ... servo-drive system for electric scooter," International Journal of Control Automation and Systems, vol. 12, no. 1, pp. 177-187, 2014. value ...
Year: 2017, Volume: 17, Number: 1
... Rahman, M.A. Hoque, "On-line adaptive artificial neural 1473. doi: 10.1109/ISIE.2010.5637877 network based ... control of permanent magnet synchronous motors," IEEE Trans. Energy Convers., vol. 13, no ... Rapid Current drive," 10th IEEE International Conference on Networking, Sensing Profiling Technique Based on Angular Impulse, ...
Year: 2017, Volume: 17, Number: 1
... the application of method described in supported by fuzzy logic [10] or artificial neural networks [7] for detection of broken rotor bar based on vibration [ ... ]. Finite element method (FEM) can be used to obtain signal analysis, which will be explained in the sequel. valid fault model [12] ...
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