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包含1593手写体数字0 ~ 9。从semeion.data通过MATLAB semeion.mat，可以直接使用。 每一个行为样本，其中256是手写数字的16×16，在10栏的数字识别标签，例如：如果第一行是1，然后是0号，其次是1，1。等等。 在Matlab的小例子，可以得出每一个数字，一个更好的理解。你想翻转和旋转的是写作的习惯相一致的图像。(Contains 1593 handwritten digit 0~9. from semeion.data by MATLAB semeion.mat, can be used directly. In addition of MATLAB small example, can draw each digital, a better understanding of. The image you want to flip and rotation is consistent with the habit of writing.)

说明：  matlab利用遗传算法求解非线性规划的单目标问题(Matlab USES genetic algorithm to solve nonlinear programming)

PCA主成分分析用于人脸识别，提取特征值特征向量。有ORL人脸库。(PCA principal component analysis for face recognition, extraction Eigenvalue eigenvector. Have ORL face database.)

牛顿法计算IEEE14节点的潮流程序，该程序也可以计算任意系统的潮流(Newton method IEEE14 trend node procedure, the program can calculate the trend of any system)

simulink搭建的无刷双馈电机控制的矢量控制(Brushless doubly-fed machine control)

说明：  计算高斯-勒让德求积，直接调用函数即可。(Calculate the Gauss-Legendre quadrature.)

5.1 在VC++中调用Matlab引擎 matlabenginetest目录 5.2 VC++中调用Matlab *.m函数编译后的动态链接库 VC++中调用Matlab .m函数编译后的动态链接库目录(failed to translate)

Simple application that illustrates how the Control Panel functions

ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier