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Stanford University machine learning course work The third chapter, mainly contains the artificial neural network algorithm initial combat.
Date : 2025-07-15 Size : 7.55mb User : yuan fei

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Stanford University machine learning course of the fourth chapter, mainly including artificial neural network algorithm advanced combat.
Date : 2025-07-15 Size : 7.61mb User : yuan fei

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Stanford University machine learning course of the fifth chapter, including Regularized Linear Regression algorithm combat.
Date : 2025-07-15 Size : 224kb User : yuan fei

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Algorithm optimization is very good, almost no circulation, Graduation useful It has a wealth of parameter options.
Date : 2025-07-15 Size : 6kb User : liekuitingfie

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Comparison of soft threshold and hard threshold and today various threshold calculation method, LCMV optimization design array signal processing, matlab wavelet analysis program.
Date : 2025-07-15 Size : 4kb User : liekuitingfie

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Chapter 6 of the Stanford University machine learning course, mainly includes support vector machine algorithm combat.
Date : 2025-07-15 Size : 924kb User : yuan fei

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Between two images showing the relative circumstances of each pixel, Extract important parameters, matlab development toolbox support vector machine.
Date : 2025-07-15 Size : 7kb User : jeijingting

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Genetic algorithms using MATLAB path planning, Modern signal processing used in the spectral estimation in matlab, Gaussian white noise generator.
Date : 2025-07-15 Size : 6kb User : jeijingting

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Optimization class contains several simple sample programs, Join repetitive control, Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon.
Date : 2025-07-15 Size : 4kb User : dearuky

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Prediction Error Method for Parameter Identification- the idea of relaxation, Based on piecewise nonlinear weight value Pso algorithm, cordic matlab simulation algorithm.
Date : 2025-07-15 Size : 8kb User : dearuky

STM8L is an ultra-low power 8-bit microcontroller, with its development of blood glucose detection circuit is simple and effective, the overall system is compact, with small size, low power consumption features. This inf
Date : 2025-07-15 Size : 381kb User : 周围

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two-dimension synchrosqueezing curvlet transform
Date : 2025-07-15 Size : 29.09mb User : 王前
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