Final-Project

matlab构造股票过程，里面有详细的描述(matlab course of construction stocks, which are described in detail)

This thesis describes methods for solving certain optimization problems commonly arising in computer vision by PETTER STRANDMARK

提取财务数据并计算经波动调整的衍生指标，同时生成指标序列矩阵(Extract Financial data and calculate the volatility-adjusted derivatives, and generate the time series matrix)

梯度下降法优化函数，包括回溯搜索法和精确直线法(Gradient descent method to optimize the function, including backtracking search method and precise line method)

PNN神经网络聚类法的MATLAB的源代码，自己编写的，很实用，希望对大家有所帮助。(PNN neural network clustering method for MATLAB source code, I have written, very practical, we want to help.)

这是根据提交的亚历山大Gramfort的“MATLAB的网状到PDF与三维交互对象“。他的计划将允许网数字转换成3D PDF格式。然而，他的代码只允许一个层进行转换，并不会启用的透明度。 本意见书不创建最终的PDF。它产生的U3D文件，然后可以使用到PDF的Adobe Acrobat Pro文件插入。本文件还允许多层网格，以创建，并为每个层的透明度指定。 此代码包含一个函数（installGoogleArchive.m），它会自动下载并安装所需的中间数据格式转换（IDTF）进入最后的通用3D（U3D）文件的二进制文件。此代码还只包括转换器的Windows版本。(This submission is based on Alexandre Gramfort s "matlab-mesh-to-pdf-with-3d-interactive-object". His program allows meshes to be converted into 3D PDF figures. However, his code only allows a single layer to be converted, and does not enable transparency. The present submission does not create the final PDF. It generates the U3D file which can then be inserted into a PDF file using Adobe Acrobat Pro. This submission also allows multilayer meshes to be created, and for the transparency of each layer to be specified. This code includes a function (installGoogleArchive.m) which will automatically download and install binaries required to convert the intermediate data format (IDTF) file into the final Universal 3D (U3D) file. This code also only includes the windows version of the converter.)

实现一个单相不控的全桥整流器 交流母线电阻R1，直流滤波电容C，负载电阻R(achieve a single-phase control is not a full-bridge rectifier AC Bus resistor R1, DC filtering capacitor C, load resistor R)

it for antenna code with matlab that is good for all person

利用两层BP神经网络训练加权系数。隐含层的激活函数取S型传输函数，输出层的激活函数取线性传输函数(Weighting factor of two layers of BP neural network training. The hidden layer activation function to take the S-shaped transfer function, the output layer activation function to take a linear transfer function)

说明：  编写定步长复化Simpson公式与变步长（自适应）复化Simpson公式的通用程序，并用变步长（自适应）复化Simpson公式计算π的近似值.(Complex Simpson formula)