kmeans

Matlab Fuzzy Logic Toolbox

code for estimate creditrisk for a given portfolio

说明：  这是一个建立在OMP算法基础上，笔者自己提出来的一个稀疏分解的DOA估计算法，利用阵列流形矢量间的不相关进行匹配追踪选择，选出与信源位置流形最接近的，以便求得DOA(This is a building based on the algorithm of OMP, the author himself a sparse decomposition algorithm for DOA estimation, using the array manifold a vector between the related matching track selection, and choose the source position manifold closest, in order to obtain DOA)

采用多模方式的卡尔曼滤波程序，仿真对运动目标的跟踪(Using multi-mode approach of Kalman filtering process, simulation of moving target tracking)

这是一基于MATLAB的复调制ZOOM-FFT的研究和实现的一篇文章，为的是提高频率分辨率。(This is a MATLAB-based complex modulation ZOOM- FFT Research and Implementation of an article, To improve the frequency resolution.)

Lagrange Opdal solution

fuzzy logic ,makes an application that is used to control temperature and humidity of orchid.

此程序为图像序列的柱面全景拼接算法，matlab仿真程序，其中有柱面投影程序可以对其他投影公式有一定的启示。(This procedure cylindrical panoramic image stitching algorithm sequence, matlab simulation program, which has a cylindrical projection program can have some inspiration to other projection formula.)

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)

获取和设置文件或文件夹得创建、读取及修改信息。(Get and set the times for creation, access and modification of a file or folder (Windows only))