ESAFSA

用于振动方程求解，其中包含了newmark-B的积分数值求解方法，以及求解过程。(It is used to solve the vibration equation, including the Newmark-B integral numerical method and the solving process)

Some control exercises with matlab

数学建模所用的算法源代码，包含时间序列，最短路等各类(Mathematical modeling algorithm used in the source code, including time series, most other kinds of short circuit)

performs the Viterbi algorithm on detected to get the decoded_seq.

nonlinear fiber optic

Model Predictive Control Exercise pt 3

一个粒子群算法实例，介绍粒子群算法的编程技巧(A particle swarm algorithm instance, introduced particle swarm algorithm programming skills)

对随机高斯白噪声进行仿真实验，获得一组图像，能直观的理解噪声性质(Simulation experiments, to obtain a set of images, intuitive understanding of the noise characteristic of random white Gaussian noise)

此代码应用于将xml文件转换为mat文件。在图像的目标识别时我们需要获得一些图像的点坐标。但是通过label me。我们只能获得xml文件的形式，这样我们就需要将xml文件转换为mat文件。方便在matlab的语言环境中进行处理(This code is used in the xml file into mat file. When the target image recognition we need at some point in image coordinates. But by label me. We can only get in the form of xml files, so we need to convert the file to mat xml file. Facilitate processing matlab language environment)

简介：IFP_FCM,改进型FCM(模糊C均值)聚类算法,由Frank Hoppner与Frank Klawonn于2003年提出,解决了FCM算法对初始值设定较为敏感、训练速度慢、在迭代时容易陷入局部极小的问题。并附带了Box和Jenkins煤气炉数据模型辨识实例。 文件清单： IFP_FCM算法原始论文： Improved fuzzy partitions for fuzzy regression models.pdf 程序清单： IFP_FCM.m - IFP_FCM算法主函数 initifp_fcm.m - initifp_fcm子函数 stepifp_fcm.m - stepifp_fcm子函数 distifp_fcm.m - distifp_fcm子函数 IFP_FCM_T_S_box_test.m - IFP_FCM测试实例：Box和Jenkins煤气炉数据T-S模糊模型辨识 数据文件： box_data.mat - Box和Jenkins煤气炉数据(IFP_FCM, modified FCM (Fuzzy C-Means) clustering algorithm, in 2003, proposed by Frank Hoppner and Frank Klawonn, FCM algorithm to solve the initial value setting is more sensitive, slow training, while iterating easy to fall into local minimum problem. And comes with Box and Jenkins gas furnace model identification data instance.)