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681. PID Neural Network Based Speed Control of Asynchronous Motor Using Programmable Logic Controller
Year: 2011, Volume: 11, Number: 4
... network structure and the connection weights arising among such as modeling mistakes of system, changes in the these neurons ... ], PID Neural Network training algorithm on the speed model of [3]. Different intelligent approaches have ... characteristics of PID Neural Network controller for single have mathematical models of such systems in practice. input and single ...
Year: 2011, Volume: 11, Number: 4
... skills ƒbackground, if f( x, y) ƒ C l for virtual modeling of the scene viewed by the stereo In (1 ), t ( ... II. The rest of the paper is organized as follows. layer and World Model. The proposed robust feature-based 2D object recognition based on the closed-loop feature extraction ...
Year: 2011, Volume: 11, Number: 4
... the Rayleigh function approximates the noise spectral magnitude. The model is updated at every frame in an online manner ... noise suppression results of male speech contaminated by hidden Markov models (HMMs) are obtained by the hidden factory ... speech LSFs are computed, and their distribution is then modeled by processing tasks, leading to a more reliable ...
Year: 2011, Volume: 11, Number: 3
... the sender and the receiver is (i, i) entry,. „() log det(+). (2) II. MIMO CHANNEL MODEL We consider a point-to-point Gaussian MIMO Since the additive noise is normalized to have variance 1, communication channel, where the single sender employs T the signal to ...
Year: 2011, Volume: 11, Number: 3
... allows a better spatial separation of focus and context information. Volume visualization essentially simulates the propagation of light rays through a volume data set, based on an optical model. The model we employ in the paper is emission-absorption [9]. What this essentially means is that each point traversed by a light ray may attenuate ...
Year: 2011, Volume: 11, Number: 3
... Workshop on Text Mining, 2000. information clustering: modeling and quantization with Gauss [10] D. ... 26], algorithm [4] and Gaussian mixture model (GMM) [5] are when the ... algorithms have been reported in the literature each Gaussian mixture model-based (GMM) classifiers are reflecting a different point ...
Year: 2011, Volume: 11, Number: 3
... , "An Improved kNN Text adults pronouncing words that start with 'ra-€™. Categorization on Skew Sort Condition", in 2010 International Conference on Computer Application and System Modeling Results of the test showed that wrongly pronounced (ICCASM), Available at: phoneme tend to organize on a single neuron whereas the http:// ...
Year: 2011, Volume: 11, Number: 3
... of a cardiac ECG signal classification expert systems, Markov model, auto- organizing map, and technique. ... figure, illustrates further this improvement. topology for student modelling of prediction of corporate bankruptcy, In this figure ... that marché industriel," SAMOS (Statistiques Appliquées et Modélisation the ROBBPT outperforms the others. Stochastiques), ...
Year: 2011, Volume: 11, Number: 3
... , several spectrum bands may be Section II, III presents previous research and system model available for CRs over a wide frequency range. Therefore, respectively. In ... licensed The two major handoff schemes (reactive and proactive) frequency band i is modeled as an alternating renewal two in a double channel switching circumstance are compared state ...
Year: 2011, Volume: 11, Number: 2
... The PD conductivity. The PD behaviour is studied in epoxy resin activity was detected by a typical PD detecting system samples and is explained with the aid of Pedersen's model. which gives the charge magnitude, the phase angle of the Scanning Electron Microscope (SEM) photographs indicate the respective PD and the number of PD [ ...
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