Matlab

power flow analysis using newton raphson method

基于最小二乘算法的SGP4轨道预报精度分析程序。(Precision analysis of SGP4 model based on Least Squares method.)

用MATLAB，采用遗传算法解决TSP问题，绝对经典！！！(Using MATLAB, using the genetic algorithm to solve the TSP problem is absolutely classic! ! !)

开发环境： Matlab Version 7.8.0.347(R2009a) Visual Studio 2005(.NET 2.0, C#) 演示如何在ASP.NET(C#)网页中调用MATLab函数的例子。(Development Environment: Matlab Version 7.8.0.347 (R2009a) Visual Studio 2005 (. NET 2.0, C#) to demonstrate how in ASP.NET (C#) page MATLab function call example.)

说明：  里面有33个在中国知网和其他学习网收集的论文，里面都是语音端点检测的学术论文，对于要进行语音处理的人有很高的价值。(paper from cnhk,about speech endpoint detection. have a high value)

RTD2120.rar programing GFF files

关于focus编程的相关学习资料，有详细的说明(Focus programming related learning materials, detailed instructions)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

利用MATLAB编程解飞秒激光与物质相互作用时所用到的双温方程(solve two tempture model)

图像分割中求七个不变矩的函数程序，需要使用在你的主函数中。(Image segmentation in the seven invariant moments for the function of the procedure, you need to use the main function.)