xueya

金融数量分析 有关均值方差分析还有收益率波动问题的代码(Financial quantity analysis The mean variance analysis and yields fluctuation of the code )

a useful matlab code

pv cell modeling: MODELING ALGORITHM SIMULINK PV + BUCK CONVERTER SIMULINK PV CIRCUIT MODEL PSIM 6.0 PV CIRCUIT MODEL documents

说明：  高斯过程回归代码，包括例程，适用于新入门高斯过程回归的人学习(Gaussian process regression code, including routines, is suitable for new beginners to learn Gaussian process regression)

一种在线SVM的实现，通过样本的取舍，我们可以将SVM运用动态建模当中（得有SVM工具箱的支持），该源码中包含有SVM工具箱和在线SVM的源程序(an online SVM achieved through the choice samples, SVM we will be able to use dynamic modeling them (SVM in a toolbox support) The source code contains SVM toolbox and online source SVM)

Locating series FACTS devices for congestion management in deregulated electricity markets

voice recognition with neural networks backpropagation. this source can recognize number one two three four five six seven eight nine

【债券回购量化投资模型】：本人在投资公司做量化投资的，分享一个简单的债券回购量化投资模型，在rar压缩文件附有数据，模型的原理与策略系历史最大开盘价合约进场，细节不多讲，做量化投资的朋友可以了解一下。([Bond repurchase quantitative investment model]: I do quantitative investment in investment companies, sharing a simple bond repurchase quantitative investment model, rar compressed files with data, principles and strategy of the largest in the history of opening contract model approach , not much talk about the details, do the quantitative investment friends can look at.)

利用pcnn，每当有一批像素对应的神经元点火，对像素值进行一次修正。第n次点火的所有神经元用矩阵B（n）表示， 已经点火的像素位置标记为‘1’，未点火的标记为‘0’。通过一个3*3的模板滑过B（n），判断若模板内的值全为‘1’或全为‘0’， 则这些像素值不进行处理，否则若模板中心的值为‘1’，则增加该位置的像素值的大小，中心值为‘0’，则减小像素值。该功能由xiugai(B,K)函数实现 Beta取负值来抑制周围的神经元点火，因为输入pcnn（X）的是模糊图像，抑制之后使处理的像素值更加接近原图像的像素值（抑制参数通过试验确定，并不精确） 总之运行结果只是对像素值变化较大的边缘区域进行了像素值的修正。 通过不断调整参数使峰值信噪比有所升高，但是升高得不是太多(Use pcnn, whenever a group of pixels corresponding to the firing of neurons, a correction value for the pixel. Ignition of all the n-th neuron matrix B (n) represents, Already ignition pixel position labeled 1 , unfired labeled 0 . By a 3* 3 templates over the B (n), determines if the value within the template are all 1 or all 0 , These pixel values are not processed, otherwise the value if the template center 1 , then the increase in the size of the pixel values of the position, the center value of 0 , the pixel value is reduced. This function is implemented by xiugai (B, K) function Beta is a negative value around the element to inhibit neuronal firing, because the input pcnn (X) is a blurred image, the pixel values of inhibition after treatment of the pixel value closer to an original image (suppression parameter determined by experiment, is not exact) Results only in short run large changes in the edge region of the pixel values of the corrected pixel values. )

extracting region of interest with region growing