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Search results for: neural network
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Year: 2013, Volume: 13, Number: 3
... difference between two consecutive In [9] a recognition scheme based on the Growing Neural frames. We call this the DIF operator. We use this method in ... X. Liu and K. Fujimura, "Hand gesture recognition using depth neural networks," Expert Systems with Applications, vol. 32, 1, pp ...
Year: 2013, Volume: 13, Number: 3
... based methods, the curve fitting method, and the neural and a linear fuzzy membership function in determining the ... method in terms of the average estimation error of proper value of the distinguishing coefficient, the proposed gas breakdown ... , pp. 179-86, 2001 grey forecasting with neural network-based fuzzy regression by an [11] S.F. ...
203. Interval Type-2 Fuzzy Logic Controller Based Maximum Power Point Tracking in Photovoltaic Systems
Year: 2013, Volume: 13, Number: 3
... [5-6]. and output variables of fuzzy logic controller. Since type-2 The neural networks are also used as MPPT algorithm. fuzzy sets are used, effect ... uncertainties on maximum power Since the PV arrays have different characteristics, neural- point tracking capability is removed. Operation point of the networks have to be trained for ...
Year: 2013, Volume: 13, Number: 3
... SPSA to servo system control," IEEE Transactions on Neural [1] D. Levy, M. ... , and A. Alexandrovitz, "Optimal control of Networks, vol. 22, no. 12, ... http://dx.doi.org/10.1080/00207727708942042 neural network and simultaneous perturbation stochastic [2] N. ...
Year: 2013, Volume: 13, Number: 3
... wind power measurement applications in power systems," IEEE Transactions on forecasting using ridgelet neural network," Electric Power Systems Smart Grid, vol.1, no.1, pp.20-27 ... x1 ,Œ, x p), a certain category rule backup protection communication network; The reliability evaluation about the wide area backup can divide R into ...
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 ...
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