beibaoPSO

视频抓帧，抓到连续图像每一帧。适合做视频的朋友(Video frame, catch caught continuous image each frame)

LMSNewton算法，自适应，权值迭代及权值的绘图。(failed to translate)

结构分析的有限元法与MATLAB程序设计，讲述了结构有限元分析的原理，以及编程设计方法(FEM structural analysis and design of the MATLAB program, about the principles of finite element analysis, design and programming)

MATLAB codes of Simon Haykin s book (Adaptive Filter Theory)

动态数据交换(Dynamic Data Exchange,DDE)是Windows应用程序间数据交换的有效方法。利用它可以进行组态王和MATLAB的通信,从而扩充组态王的控制运算功能(Dynamic Data Exchange (Dynamic Data Exchange, DDE) is an effective method of data exchange between Windows applications. Use it can be the the configuration king and MATLAB communication, thus to expand KingView control operation function)

double_pendulum_documentation paper about it

The study documents the famous 3D engine for 3D developers learn to use.

有关系统辨识的课件以及相关辨识方法的matlab程序，很实用的。(The system identification of courseware and related identification methods matlab program, very useful.)

GM(1,1)模型1-4 1：GM(1,1)模拟模型，在matlab中的输入方法为gm1（x），x指要模拟的序列。 2：GM(1,1)预测模型，在matlab中的输入方法为gm2（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 3：GM(1,1)群模拟模型，在matlab中的输入方法为gm3（x），x指要模拟的序列。 4：GM(1,1)群预测模型，在matlab中的输入方法为gm4（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 gm4对序列趋势比较好的数据预测效果较好，对上下变动的数据，特别是后4个数据趋势跟前面的数据相反的，预测效果很差。 gm2对上下变动的数据，预测效果比gm4好，但对趋势较好的数据，预测精度没有gm4高。 gm3比gm1模拟精度要高。 可以以x=[1 3 5 7 9 11 13 15]进行实验。x输入默认行向量。 所有程序在matlab6.0上调试通过。(GM (1,1) 1-4 1 : GM (1,1) simulation model Matlab in the input method for gm1 (x), x entail simulation sequence. 2 : GM (1,1) model, in the Matlab input method for gm2 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. 3 : GM (1,1)- simulation model, in the Matlab input method for gm3 (x), x entail simulation sequence. 4 : GM (1,1)- forecasting model, in the Matlab input method for gm4 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. Gm4 right sequence relatively good trend data predicted better results, the next change in the data, especially after four data with the previous trend data contrary, predict poor. Gm2 next to the change in forecast resu)

with simplified pulse coupled neural network for image binary segmentation of surveying and mapping science and technology papers