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Search results for: neural network
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Year: 2012, Volume: 12, Number: 2
... Security, Harbin, 2007, pp. 128-132. the IEEE International Conference on Neural Networks, November [23] Z-L. Gaing, A particle swarm optimization ... for optimum 27-December 1, 1995, Perth WA, Australia. design of PID controller in AVR system, IEEE Transactions on [6] J. Chen, ...
Year: 2012, Volume: 12, Number: 2
... , "One microphone source separation," Advances in Neural Information Processing Systems, vol. 13, pp ... Non-negative [15] Ray Meddis, "Simulation of auditory-neural transduction: further matrix factorization based compensation of music ... automatic studies," Acoustical society of America, vol. 83, pp. 1056-1063, 1988. speech ...
Year: 2012, Volume: 12, Number: 1
... . The system are whose functions are realized by Artificial Neural Network controlled to obtain desired performance depending on the ... . Bal, "Development and 2006. Implementation of Fuzzy-Neural Network Controller for Brushless [9] F. ... , S. Mei, Q. Lu, Y. Ni, F.F Wu and A. Yokoyama, ...
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 ...
168. 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 ...
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