DPDGOOD

parzen window density estimation with Gaussian as a smoothing factor

T=[1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] 输入向量的最大值和最小值 threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net=newff(threshold,[31 3],{ tansig , logsig }, trainlm ) 训练次数为1000，训练目标为0.01，学习速率为0.1 net.trainParam.epochs=1000 net.trainParam.goal=0.01 LP.lr=0.1 net = train(net,P,T) 测试数据，和训练数据不一致 P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )

详细功能图像处理的实施、包含内容说明 原理例子 图像说明(The implementation of the detailed functions of image processing, including the content description schematic example of image description)

this code can be use in prediction filter of seismic data.

去斜处理后的加窗操作，线性调频信号，绝对有用，不像其他的那么坑(To deal with the oblique add window after the operation, the linear frequency modulation signal, is absolutely useful, unlike other then pit to oblique processed add window operation, the linear frequency modulation signal, is absolutely useful, unlike other pit)

此源码是文档solitonyu.rar__关于光孤子在饱和介质中传输的仿真研究的matlab程序及图片(The source documents are solitonyu.rar__ saturation at about optical soliton transmission medium matlab simulation study procedures and Photos)

采用MATLAB语言，编写的基于格子Boltzmann算法计算cylinder流动的程序代码。(cylinder Flow)

A ROBUST FORGERY IMAGE DETECTION

Noise Remove Code in Matlab

说明：  使用matlab实现手写阿拉伯数字的识别。(Using matlab to achieve the recognition of handwritten Arabic numerals.)