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Search results for: neural network
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Year: 2010, Volume: 10, Issue: 2
... Cancelo [7] used this idea to single wavelet neural network to approximate the policy control the WECS. ... proposed a neural-network-based function of the Actor and the value function of the Critic structure consisting of two combined control ... new control scheme for variable speed wind turbine using neural networks. IEEE Power Eng 420 Soc Winter Meeting 1 ...
Year: 2010, Volume: 10, Issue: 2
... voltage level in correlation with the extent of using efficient Neural Network Approach", IEEE Trans. on Power ... , 2010 Strategies for Power/Energy Saving in Distribution Networks Gheorghe GRIGORAS1, Gheorghe CARTINA1, Elena-Crenguta BOBRIC2 1 ... component in electricity networks. Electricity distribution improvement of the network, through its renewal with the introduction of the ...
Year: 2010, Volume: 10, Issue: 2
... Amit Kumar Jain, Ned Mohan, "Dynamic Modeling, Experimental Motor Design Using Neural-Network Method With Static Finite- Characterization, and Verification for SRM Operation With Element ... Amit Kumar Jain, Ned Mohan, "Dynamic Modeling, Experimental Motor Design Using Neural-Network Method With Static Finite- Characterization, and Verification for SRM Operation With Element ...
Year: 2010, Volume: 10, Issue: 3
... [112]. The detection using the combination of neural staged earth fault cases at a sampling frequency of ... Phase or Natural Fault Current and voltage (MV) networks is modeled. The fault is represented Voltage in ... on the magnitude generated by a leaning tree towards the network conductor of phase or natural fault current measurement [ ...
Year: 2010, Volume: 10, Issue: 3
... torque demands without employing a sensor. including Kalman filters, fuzzy logic, and neural network The proposed system performs very well for a sensorless observers to obtain the ... position angle [10], [11]. operation and effectively eliminates the harmonics due to the LP filter. Recently, researchers have tried to reduce the ...
Year: 2010, Volume: 10, Issue: 3
... is aimed to track the aging trend a new MLP neural network approach is introduced. The of the incipient ... Terms — bearing damage, vibration analysis, MLP neural networks, feature extraction, condition monitoring II. STATISTICAL ... Statistical parameters are easily extracted in time domain I. INTRODUCTION and define the average properties of machinery data. ...
Year: 2010, Volume: 10, Issue: 1
... control structure the inferential control [3 ], artificial neural networks [8] and of the cold rolled ... . This structure is based on the rolls neuro-fuzzy techniques [6] are also used. In the synthesis ... corresponding operation for hot strip looper controller by recurrent neural network, Proceedings of the 2004 IEEE International Conference on ...
Year: 2010, Volume: 10, Issue: 1
... — Recognition of multiple partial discharge (PD) recognition through feed forward back propagation neural sources in high voltage equipment has been a challenging task network [4] ... Fuzzy logic artificial intelligence routine until now. The work reported here, aims to recognize multiple method is used to discriminate among internal, surface and PD sources in ...
Year: 2010, Volume: 10, Issue: 1
... various algorithms in multi agent system so In this connection, the use of artificial neural networks far has share of duties, negotiation, learning and searching such that ... can get information from environment with need to various forms of communication among agents. In the possibility to give agents some algorithm to improve the paper we attempt to ...
Year: 2010, Volume: 10, Issue: 1
... System Identification Based on complex nonlinear system identification issues, with poor a Evolutionary Dynamic Neural Networks wih Hybrid Structure" in priori information available. Moreover, the compact ... tree- Proc. of IFAC Congress, Prague, Czech Republic, 2005. 99 ...
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