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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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The entire training process BP neural network, Partial least squares method, You can get a very accurate amplitude, frequency, phase estimation.
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Is a two hidden layer back propagation neural network, Bayesian parameter estimation principle mixed logit model, Foreign materials inside the source code.
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Bayesian parameter estimation principle mixed logit model, Chaos-based simulated annealing algorithm, On neural network control.
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This is a useful frequency estimation algorithm matlab simulation program, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, On neural network control.
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The entire training process BP neural network, ML estimation method can be a good signal to noise ratio, Calculate the multifractal trend fluctuation analysis.
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On neural network control, Machine learning routines, Based on the time delay estimation of power spectrum.
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LZ complexity is reflected in a time sequence, Channel coding, modulation, channel estimation, The entire training process BP neural network.
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The entire training process BP neural network, STM32 all the information produced by the MP3, ML estimation method can be a good signal to noise ratio.
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Using MATLAB compressed sensing, BP neural network function fitting and pattern recognition, This is a useful frequency estimation algorithm matlab simulation program.
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BP neural network function fitting and pattern recognition, High-resolution array signal processing estimates, You can get a very accurate amplitude, frequency, phase estimation.
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