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Search results for: fuzzy network
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Year: 2013, Volume: 13, Number: 2
... ", Annals of the University of Craiova, Serie fuzzy expert system for the integrated fault diagnosis", ... pp.69-72, 2011. of power converters using artificial neural networks", in Proc. The [8] ... vol I, pp. 25-28, 2010. Distribution Network", International Review of Electrical [5] ...
Year: 2013, Volume: 13, Number: 1
... 1. For automated medical image segmentation, a new fuzzy level set algorithm [15] uses fuzzy clustering ... presented for the first time by present, the convolutional networks are the best techniques for Fukushima [1] ... Segmentation of Bone Structure in X-ray Images using Convolutional Neural Network Cosmin CERNAZANU-GLAVAN, Stefan HOLBAN Politehnica University of Timisoara ...
Year: 2013, Volume: 13, Number: 1
... used. The method consists of using a learning rate fuzzy neural network architectures that use neurons and for each ... obtained at the outputs of each network are The neural networks are architectures that use several processed by using analysis ... Effect of Noise in Printed Character Recognition System Using Neural Network Sandel GHEORGHITA1, Radu MUNTEANU1, Adrian GRAUR2 1 ...
Year: 2013, Volume: 13, Number: 1
... characteristics The design of linear PI, gain-scheduling, and fuzzy of braking dynamics, unknown parameters of vehicle control ... Available: http://dx.doi.org/10.1109/FUZZY.2004.1375359 http://dx.doi.org/10.1016/j.conengprac.2005.10.005 ... Advances in Electrical and Computer Engineering Volume 13, Number 1, 2013 [25] D. Mitić, ...
Year: 2012, Volume: 12, Number: 4
... be found today a modern home. artificial intelligence (fuzzy expert system) was proposed in Numerous real-life applications ... , any computation reduction is useful. Kalman filter and fuzzy-expert system", Electric Power System This paper proposes ... large power Two problems have to be addressed for dip networks. Electricity-producing plants, transformers, and characterization: ...
Year: 2012, Volume: 12, Number: 4
... Kladas, A.G., Stavrakakis, G.S., Fuzzy Logic Based Online Electromagnetic Loss Minimization of Permanent Magnet ... 2008, pp. 323-328. Transforms and Back-propagation Neural Networks, International Journal of Control, Automation, and ... , pp.423-426. tem by Using Strata Hierarchical Artificial Neural Network, Power and Energy Engineering Conf., APPEEC ...
Year: 2012, Volume: 12, Number: 3
... property stability, Adaptive Neurofuzzy control, Wavelet neural of fuzzy logic systems and with the learning capability of network ... Engineering Volume 12, Number 3, 2012 Nonlinear Adaptive NeuroFuzzy Wavelet Based Damping Control Paradigm for SSSC Rabiah BADAR ... its hidden layer. Fig. 3 shows the Adaptive NeroFuzzy Wavelet Network (ANFWN) architecture. The the ...
Year: 2012, Volume: 12, Number: 3
... DC motor are From Classical Approaches to Neural Networks and Fuzzy Models. presented. Berlin: Springer-Verlag, 2000 ... Volume 12, Number 3, 2012 State-Space GMDH Neural Networks for Actuator Robust Fault Diagnosis Marcin MRUGALSKI, Marcin ... Method of systems [29]. Data Handling neural network in the state-space The most desirable feature of the ...
Year: 2012, Volume: 12, Number: 3
... vol. 13, pp. 969-977, 1998. control of induction motor with fuzzy stator resistance adaptation", [6] K.D. Hurst, T.G. ... . 185-190, 2001. motor drives at very low and zero speeds using neural network flux [3] H. Tajima, and Y. Hori, " ...
Year: 2012, Volume: 12, Number: 3
... classification of input data the classification methods it were used KNN with a accuracy Recurrent Fuzzy C-Means (FCM) and WKNN algorithms. We rate of 55%, ... networks KNN with a accuracy rate of compared the cluster position with the statistical parameters 65% (normal state 55-65%, happiness 60-70%, anger 60- ...
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