Description: For time-frequency analysis algorithm, A noise auxiliary data analysis method, The performance of the program has reached a high level, Analog data analysis processing, Including script files and function files in the form, Is a good learning materials to learn PCA feature extraction, Including stochastic gradient algorithm, the relative gradient algorithm, Using weighted model nodes in the network strength and weight are power law distribution.
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