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This submission contains
(1) Journal Article on Zernike Moments, Genetic Algorithm, Feature Selection and Probabilistic Neural Networks.
(2) MATLAB code to do Feature Selection Using Genetic Algorithm.
NB:
(i) This code is short BUT it works
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A Genetic Algorithm-Based Feature Selection on binary image
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包括广义互相关函数GCC时延估计,遗传算法无功优化,车牌识别定位程序的部分功能。- Including the generalized cross-correlation function GCC time delay estimation, Genetic algorithm based reactive power optimization, Part of the license plate recognition locator feature.
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可以动态调节运行环境的参数,遗传算法无功优化,在MATLAB中求图像纹理特征。- Can dynamically adjust the parameters of the operating environment, Genetic algorithm based reactive power optimization, In the MATLAB image texture feature.
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函数实现了lelief算法。(计算样本的每一个特征的分类权重,选出具有最大权重的一组特征。样本的特征就是基因)。
对权重较大的一组基因进行两两冗余分析。将相关性弱的和强相关中权重大的基因保留,即为特征基因。
已知基因表达谱数据、不同类样本的个数,自行设定分类特征的权重阈值。
对原始数据标准化的方法:(x-基因均值)/基因方差。
样本的类内类间距离采用欧氏距离。-Lelief function implements the algorithm. (Classificatio
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结合遗传算法和SVM,实现特征选择和SVM参数优化同时进行(Combining genetic algorithm and SVM, feature selection and SVM parameter optimization are carried out simultaneously)
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