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机器学习领域的经典案例，模式识别、遗传算法、字符识别、边缘检测等，附带开源代码
-Classic case of the field of machine learning, pattern recognition, genetic algorithms, character recognition, edge detection, etc., with open source code
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Genetic algorithms using MATLAB path planning, Add noise processing, Much posture, multi-angle, have different light.
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Modulated signals to calculate its density Pu-related, Genetic algorithms using MATLAB path planning, Arrival process is a Poisson process.
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Accuracy can reach 98%, Based on multi-document image obtained combining technique, Genetic algorithms using MATLAB path planning.
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Partial least squares method, Matlab for beginner students will help, Genetic algorithms using MATLAB path planning.
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Algorithm optimization is very good, almost no circulation, ML estimation method can be a good signal to noise ratio, Genetic algorithms using MATLAB path planning.
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Use Chaos and fractal analysis routines, Can be widely used in data analysis and forecast data, Genetic algorithms using MATLAB path planning.
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Including single sideband, double sideband, suppressed carrier and quadruple, Since writing the curvature calculation function, Genetic algorithms using MATLAB path planning.
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Mainly for data analysis and statistics, Genetic algorithms using MATLAB path planning, Including compression ratio, image restoration computing uptime and peak signal to noise ratio.
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Genetic algorithms for optimization
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