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Real-Time Implementation of an On-Line Trained Neural Network Controller for
Power Electronics Converters
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本论文以 DSP 和计算机为硬件平台，以小波分析和人工神经网络为理论基础，设计了基于 TMS320F2812 的数据采集模块，对故障识别方法进行了深入研究，实现了电力电缆典型故障的识别。-Based on the hardware platform of DSP system & computer and the theory of wavelet analysis & artificial neural network, this paper designs the data acquisit
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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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PLolbox, The entire training process BP neural network, Genetic algorithm based reactive power S PLS toolbox, The entire training process BP neural network, Genetic algorithm based reactive power optimization.
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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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Pattern Recognition bayes discriminant analysis algorithm, Calculating a target and ocean echo power spectral density, The commonly used digital signal modulation based on artificial neural network.
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Chaos indicator for Lyapunov index calculation, Is a two hidden layer back propagation neural network, Multi-machine power system simulation and flow calculation.
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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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There are detailed notes, Using weighted model nodes in the network strength and weight are power law distribution, Is a two hidden layer back propagation neural network.
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Using weighted model nodes in the network strength and weight are power law distribution, Is a two hidden layer back propagation neural network, Complete class-based image processing, contains all of the source code, auto image.
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