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Search results for: neural network
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Year: 2012, Volume: 12, Number: 3
... knowledge based property stability, Adaptive Neurofuzzy control, Wavelet neural of fuzzy logic systems and with the learning capability ... that its application domain is limited to static power transmission networks. But the structural expansion problems. Moreover, ... convergence and getting stuck in of existing systems is bounded above by different local minima are well-known short-comings of conventional ...
Year: 2012, Volume: 12, Number: 3
... Engineering Volume 12, Number 3, 2012 State-Space GMDH Neural Networks for Actuator Robust Fault Diagnosis Marcin MRUGALSKI, ... WITCZAK Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, 65-246 Zielona ... Method of systems [29]. Data Handling neural network in the state-space The most desirable feature of the ...
Year: 2012, Volume: 12, Number: 3
... pp. 185-190, 2001. motor drives at very low and zero speeds using neural network flux [3] H. Tajima, and Y. Hori, ... Speed sensorless field oriented control of observers" IEEE Transactions on Industrial Electronics, vol. 56, pp. the Induction machine," Proceedings of the IEEE Conference ...
Year: 2012, Volume: 12, Number: 3
... Fuzzy C-Means (FCM) and WKNN algorithms. We rate of 55%, neural networks KNN with a accuracy rate of compared the cluster position with the statistical ... 65% (normal state 55-65%, happiness 60-70%, anger 60- extracted from vowels in order to establish the relevance of 80%, sadness 60-70 ...
215. Parallel-Hierarchical Computing System for Multi-Level Transformation of Masked Digital Signals
Year: 2012, Volume: 12, Number: 3
... images) redescription [7]. scheme similar to neural. Unified methodological approach was developed for analysis In ... of Pyramidal and Parallel-Hierarchical Image Processing on the Base of Neural-Like Network Systems", Advances in Electrical and Computer ... , Vol. 8 (15), no 2 (30), pp. 54-60, 2008. ...
Year: 2012, Volume: 12, Number: 2
... Rough set and information supplied by the WAMS is the key problem for fuzzy wavelet neural network integrated with least square weighted fusion algorithm based fault diagnosis research for power ... corresponding input signals (consisting of nodal voltages voltage and current information in the whole network will and feeder currents) will be sampled and converted into change accordingly. ...
Year: 2012, Volume: 12, Number: 2
... , Number 2, 2012 Optimized Simulation Framework for Spiking Neural Networks using GPU's Radu MIRSU, Sebastian MICUT, ... This is equivalent to a 6 classes as follows: SpikingNeuralNetwork, Neuron, negative synaptic gain. Input signals ... be injected in DelayLine, Synapse, InputSource, and ActivityRecorder various places of the neural network. Signals act ...
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, ...
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