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Search results for: neural network
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Year: 2013, Volume: 13, Number: 2
... Minimal Number of Particles Proceedings of IEEE International Conference on Neural Networks for a Simplified Particle Swarm Optimization Algorithm" ... 6th IEEE IV, NJ: IEEE Press, 1995, pp.1942-1948. International Symposium on Applied Computational Intelligence and ... , pp. 11- optimization: Application to pipe network design", International 16. Journal of Modelling ...
Year: 2013, Volume: 13, Number: 2
... modeling, magnetic materials, magnetic hysteresis, compared with measurements [15] and neural network numerical analysis. hysteresis modeling was included in FEM analysis [16] ... The modeling of steel laminations in the FEM analysis of I. INTRODUCTION transformers or electrical machines [17] is very useful in The magnetic hysteresis complexity [1 ...
Year: 2013, Volume: 13, Number: 2
... , pp.69-72, 2011. of power converters using artificial neural networks", in Proc. The [8 ... P. L. Cui, J. H. Li and G. Z. Wang, "Improved ... vol I, pp. 25-28, 2010. Distribution Network", International Review of Electrical [5] ...
Year: 2013, Volume: 13, Number: 1
... 2013 Segmentation of Bone Structure in X-ray Images using Convolutional Neural Network Cosmin CERNAZANU-GLAVAN, Stefan HOLBAN Politehnica University of ... presented for the first time by present, the convolutional networks are the best techniques for Fukushima [1] ... 1980) by using a network architecture image segmentation. This fact is demonstrated by their wide (Neocognitron) ...
Year: 2013, Volume: 13, Number: 1
... An Effect of Noise in Printed Character Recognition System Using Neural Network Sandel GHEORGHITA1, Radu MUNTEANU1, Adrian GRAUR2 ... obtained at the outputs of each network are The neural networks are architectures that use several processed by using analysis ... designed for this layers with interconnected neurons. The standard neuron has purpose. The suggested model is made up ...
Year: 2013, Volume: 13, Number: 1
... wheel speeds is used instead of the 1 wheel slip. The SMC with the neural networks and the This paper was realized as a part of the projects TR ... and III 44006, financed by the Ministry of Education and Science of the Republic moving sliding surface is considered in [20]. The of Serbia for the ...
Year: 2013, Volume: 13, Number: 1
... Number 1, 2013 Automatic and Parallel Optimized Learning for Neural Networks performing MIMO Applications Francesco Riganti FULGINEI1, Antonino ... Yu and Q. J. Zhang, "High-Dimensional Neural-Network Technique and Applications to Microwave Filter Modeling", ... Trans on Micr. Theory and Tech., vol. 58, no. 1, January (2010 ...
Year: 2012, Volume: 12, Number: 4
... a real breakthrough in the sphere of nervous system artificial neural network, where non-normalized (absolute) modeling. ... is made that application of two hierarchical (PH) networks [2-5] that possess good training methods with ... Volume 12, Number 4, 2012 Method of Parallel-Hierarchical Network Self- Training and its Application for Pattern Classification ...
Year: 2012, Volume: 12, Number: 4
... A. Ouamri, A. Nait-Ali, M. Keche, "Fault Tolerant Neural pag. 481-487, Springer-Verlag Berlin Heidelberg 2011, Network for ECG Signal Classification ... ", Advances in [24] G. Antoniol, P. Tonella, "EEG data compression techniques", IEEE Electrical and Computer Engineering, Number 3 ...
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 ...
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