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10下载：
用遗传算法进行特征选取和svm参数优化的程序。遗传算法工具箱goat已在压缩包 需要安装libsvm就可以直接运行。数据集采用UCI中的german数据集，并完成归一化操作,Genetic algorithm with feature selection and parameter optimization svm procedures. Genetic Algorithm Toolbox in goat need to install libsvm package can be run dir
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程序实现了图像的二值化，把一幅BMP图像二值化成黑白图像，同时也可以实现黑白的颠倒。,程序实现了图像的二值化，把一幅BMP图像二值化成黑白图像，同时也可以实现黑白的颠倒。
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用于计算最小均方误差的代码，包含了归一化的uniform函数,Used to calculate the minimum mean square error of the code, including the normalization of the uniform function
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2下载：
用matlab实现虹膜识别过程中的归一化,匹配等功能.,Iris recognition using matlab to achieve in the process of normalization, matching and other functions.
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4下载：
用灰度共生矩阵对共生矩阵归一化和计算能量、熵、惯性矩、相关4个纹理参数。-On the symbiosis with the GLCM matrix normalization and calculation of energy, entropy, moment of inertia, related to four texture parameters.
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MATLAB实现人脸识别,光照归一化算法-MATLAB realization of face recognition, illumination normalization algorithm
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直方图均衡化即归一化matlab程序，编写的目的也是为了模式识别处理样本。-Histogram equalization matlab that the normalization process, the preparation was also intended to deal with sample pattern recognition.
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程序实现了图像的二值化，把一幅BMP图像二值化成黑白图像，同时也可以实现黑白的颠倒-Procedures for the realization of the image binarization to a BMP image into a binary black and white images, but also black-and-white reversal can be achieved
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通过人脸图像归一化，人脸检测，特征提取等处理后，实现人脸识别功能-Through the Human face image normalization, face detection, feature extraction, such as treatment, the realization of face recognition feature
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图像的二值化处理就是讲图像上的点的灰度置为0或255，也就是讲整个图像呈现出明显的黑白效果。即将256个亮度等级的灰度图像通过适当的阀值选取而获得仍然可以反映图像整体和局部特征的二值化图像。-Binary image processing is to say the point of image gray-scale home for 0 or 255, that is, speaking of the images clearly show the effect of black and wh
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3下载：
PSO的RBFNN优化程序
算法步骤
1.样本数据归一化处理，即将输入输出归一化到[-1,1]区间；
2.确定RBF网络的中心和宽度；
3.以拟合误差的均方根作为性能指标，使用PSO算法优化RBF网络输出层到隐层的连接权值矩阵-PSO-RBFNN algorithm optimization procedures Step 1. Sample data normalization treatment, about input and output normalized to [-
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contains source code for normalising an image
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最小二乘支持向量机，LS_SVM.m为主函数，normalization.m为归一化函数，release.m为反归一化函数。-Least squares support vector machine, LS_SVM.m is the main function, normalization.m is the normalization function, release.m is the normalization function.
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四种常见的归一化方法，归一化效果不错。应用在matlab环境下。-Four common normalization method, normalized results are good. Used in the matlab environment.
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0下载：
基于 matlab 的神经网络归一化.doc-Based on the matlab neural network normalization
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人工神经网络 /多层感知器 归一化 神经网络的30个案例(artificial neural network/Multilayer perceptron normalization)
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NORMALIZATION ALGORITHM IN MATLAB
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1下载：
归一类方法，用matlab编写，经典的几种(The normalization method, written in MATLAB, several classic)
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watermarking in matlab level set normalization
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matlab将得到图像转换成矩阵，然后将矩阵数据进行归一化处理(Matlab normalization treatment)
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