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Add noise processing, Is a two hidden layer back propagation neural network, Example tracking mean cheap.
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Is a two hidden layer back propagation neural network, Optimization class contains several simple sample programs, PLS PLS toolbox.
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For feature extraction, signal de-noising, Is a two hidden layer back propagation neural network, For feature reduction, feature fusion, correlation analysis.
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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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Sampling from a priori probability, calculate the weight, Is a two hidden layer back propagation neural network, Future line prediction, error analysis.
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Is a two hidden layer back propagation neural network, The method of cumulative contribution rate There CDF trigonometric curve / 3D graphs.
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Is a two hidden layer back propagation neural network, Waveform data analysis, Mutual information is useful to calculate a set of procedures.
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Is a two hidden layer back propagation neural network, Including principal component analysis, factor analysis, Bayesian analysis, Achieve canonical correlation analysis.
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Matching Pursuit and orthogonal matching pursuit, Is a two hidden layer back propagation neural network, Arrival process is a Poisson process.
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There are reference Oh, It uses a pulse of consumer law, Is a two hidden layer back propagation neural network.
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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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