V_DAI_TRANSLATION

MATLAB实现拉格朗日、分段线性、三次样条三种插值的方法，改变节点的数目，对三种插值结果进行初步分析(MATLAB realization of Lagrange, piecewise linear, cubic spline interpolation in three ways, changing the number of nodes, interpolation of three preliminary analysis of the results)

基于嵌入式GUI的设计源码，在windows上开发(based on vc6.0, the GUI of embeded OS)

matlab下6自由度机械爪的仿真，能够实现三维的仿真(Under the 6-DOF mechanical claw matlab simulation of three-dimensional simulation can be achieved)

说明：  潮汐调和分析，分析分潮，分潮振幅和相位角(Harmonic analysis of tide)

Function for camera calibration with 1 radial distortion factor using the method presented in Trucco.

当要隐藏信息时,在MATLAB的命令窗内输入命令: hide = myhide(carry,signal,x,y)； carry 用你的原始载体文件名代替，signal 用你所要隐藏的文件名代替 carry 和 signal 都必须是 *.* 的形式（注意不能省略单引号） x,y 是选取隐藏信息的位置坐标，在（x,y）和（y,x）处 生成的伪装载体文件名为hide.bmp 注意myhide.m文件，载体文件，隐藏文件都要在当前目录(current Directory)下 当要提取信息时，在MATLAB命令窗内输入命令： behidden = myinhide(carry,x,y)； carry 用你的伪装载体文件名代替,格式为 *.* （注意不要丢掉单引号） x,y 是选取隐藏信息的位置坐标，在（x,y）和（y,x）处，这必须和嵌入时所选位置一致。 提取出的信息文件名为behidden.bmp 同样，要注意behidden.m和伪装载体文件都要在当前目录(current Directory)下(when to hide information, in order MATLAB within a window orders : hide = myhide (carry, signal, x, y); Carry with you the original document name instead vector, signal used to hide your name in the paper and instead carry signal must be in the form of*.* ( not to single quotes omitted) x, y is to select the location of hidden information coordinates (x, y) and (y, x) The formation of camouflage vector document, entitled hide.bmp attention myhide.m documents, vector documents hidden all the documents in the current directory (current Directory) to retrieve information when, in order window MATLAB import order : behidden = myinhide (carry, x, y); carry using your camouflage vector file name instead, the format for*.* (take care not to lose a single quote) x, y election Hiding information )

说明：  神经算法有着万能算法之称，可以用于解决多种问题，如预测、评价类问题。(Neural algorithm has a universal algorithm is known, can be used to solve a variety of issues, such as forecasting, evaluation of issues.)

这是关于深度学习的一些很重要的代码 包括基础的深度学习 RBM等，还有用深度学习去训练神经网络等等(This is about the depth of learning, including some very important code based on the depth of learning RBM, as well as by the depth of learning to train the neural network, etc.)

Dynamic respose of single degree of freedom system using DUHAMEL integral

QEA for knapsack problem