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Real-Time Implementation of an On-Line Trained Neural Network Controller for
Power Electronics Converters
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This paper presents neural networks based approach
for estimation of the control and operating parameters of Statcom
used for improving voltage profile in a power system, which is
emerging as a major problem in the day-to-day operation of
stresse
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Based on the time delay estimation of power spectrum, Is a two hidden layer back propagation neural network, Course designed to prepare the matlab program code.
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Minimum mean square error MSE calculation algorithm, Genetic algorithm based reactive power optimization, The entire training process BP neural network.
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On neural network control, Machine learning routines, Based on the time delay estimation of power spectrum.
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Power System Transient Stability Program, can be transient stability, Complex modulation coherent pulse train signal, BP neural network function fitting and pattern recognition.
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The entire training process BP neural network, Virtual power wireless sensor network coverage, Matching Pursuit and orthogonal matching pursuit.
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