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Search results for: neural network
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Year: 2011, Volume: 11, Number: 4
... of ANFIS is Segmented Image motivated by the fact that neural networks are well known Robust Object Segmentation as an ... capabilities in online robots: From a statistical to a neural-network and Autonomous Systems, vol. 52, pp ... 1-3, 2005. classifier", IEEE Trans. on Systems, Man and Cybernetics Part C: [ ...
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: 2011, Volume: 11, Number: 3
... 'r' consonant in Romanian paper we use the Kohonen neural network as a classifier and language using Kohonen neural ... . The study focused we will compare the level of performance achieved by the on words that contain 'r' ... the first letter and used signals SOM with those obtained by using the k-NN algorithm, in recorded mainly from ...
Year: 2011, Volume: 11, Number: 3
... Engineering Volume 11, Number 3, 2011 Fault Tolerant Neural Network for ECG Signal Classification Systems Mostefa MERAH1, ... modification of Index Terms — Fault tolerant, artificial neural networks, hybrid backpropagation algorithms, medical diagnosis. the ... weight magnitudes by adding a noise in the input of the first hidden layer (which tends to reduce the ...
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 ( ...
Year: 2011, Volume: 11, Number: 2
... analysis, and this is possible The methods such as neural networks, genetic algorithm, with VF method, ... fuzzy logic, and so on can be included in this group [18]- d- Since the ... . Li, "Application of artificial neural 2004. network to the detection of the transformer winding deformation, ...
Year: 2011, Volume: 11, Number: 2
... primary substation during a fault such as Expert System, Neural Network and Fuzzy Logic with pre-developed voltage sag database ... 2011 Voltage Sags Matching to Locate Faults for Underground Distribution Networks Hazlie MOKHLIS1, Hasmaini MOHAMAD2, Haiyu LI3, ... a rural area. Thus, not much underground distribution network is presented in this paper. information can be ...
Year: 2011, Volume: 11, Number: 2
... 2011 A New Filter Design Method for Disturbed Multilayer Hopfield Neural Networks Choon Ki AHN Faculty of the Department of ... Engineering, Seoul National University of Science& Technology 172 Gongneung 2-dong, Nowon-gu, Seoul 139-743, Korea hironaka ... the states of neural Consider the following multilayer Hopfield neural network networks using measurements and then use the estimated with ...
Year: 2011, Volume: 11, Number: 1
... 1, 2011 Blind Source Separation for Convolutive Mixtures with Neural Networks Botond Sandor KIREI, Marina Dana ŢOPA, ... MURESAN, Ioana HOMANA, Norbert TOMA Technical University of Cluj Napoca str. Memorandumului, nr. 28, ... be convolutive ones. Time domain algorithms (as neural network based blind source separation) are not suitable propagation ...
Year: 2010, Volume: 10, Issue: 4
... for wind speed estimation has been purposed and its Artificial Neural Networks (ANNs) are some other types of ... performance is compared to that of conventional methods. The model is based on linear predictive filtering and popular tools ... designed and tested through similar data. Wind speed data network for wind speed estimation using back-propagation have been collected ...
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