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Search results for: neural network
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Year: 2011, Volume: 11, Number: 4
... proper functioning. oscillations around the MPP, while fuzzy control, genetic algorithms or neural network prediction are more precise but Index Terms — photovoltaic systems, dc-dc power ... , also more complex, requiring more processing time and nonlinear dynamical systems, bifurcation, chaos, monodromy matrix, saltation matrix. computational power. The same method ...
Year: 2011, Volume: 11, Number: 4
... dynamics, optimized for implementations. digital implementation of Spiking Neural Networks. Its 1 A good compromise between computational ... and architecture is structured in two major blocks, a datapath and repertoire of spiking is the neuron model proposed ... 4, 2011 A Neuron Model for FPGA Spiking Neuronal Network Implementation Liviu ŢIGĂERU, Gabriel BONTEANU Gheorghe Asachi Technical ...
Year: 2011, Volume: 11, Number: 3
... experimental [3] -[ 5 ], artificial neural networks [6] -[ 8 ], ... spectrum tests have been conducted in order to compare the methods. estimation method [9 ], method based ... , A. Rufer, "Power Quality Problems Neural Network for Harmonic Detection," IEEE Trans. on ...
Year: 2011, Volume: 11, Number: 4
... . de Leiva and M.E. Hernando, "Artificial Neural Network Algorithm for Online Glucose Prediction from Continuous Two ... "self-Demo" in the CHEERUP application for wireless sensor networks:" .. by monitoring homepage, is provided ... by displaying a form page for acquiring the Dynamic Bayesian network. A Dynamic Bayesian network combination of context states ...
225. PID Neural Network Based Speed Control of Asynchronous Motor Using Programmable Logic Controller
Year: 2011, Volume: 11, Number: 4
... Computer Engineering Volume 11, Number 4, 2011 PID Neural Network Based Speed Control of Asynchronous Motor Using Programmable ... control the wind energy conversion system [5]. PID-Neural Network controllers perform adaptive Index Terms — control, ... network, PID, PIDNN, PLC. control. Uncertainties in systemic and environmental factors I. INTRODUCTION ensure ...
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 ( ...
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