资源列表
box_demision
- 使用Matlab计算图形、图像盒维数的原程序，txt文档，针对不同的图形需要用Matlab继续编译 -calculated using Matlab graphics, image box dimension of the original procedure, txt files, With different graphics need to continue using Matlab Compiler
yuce
- 神经网络支持向量机程序，用于模式识别，股指预测-neural network SVM procedures for pattern recognition, stock index forecast
huffman_code
- huffman编码. 把一个英文字母,空格,句号.一共有28个 character. 先求每个字符出现的频率. 然后用频率对这个文件进行哈夫曼编码. 然后再进行解码. 运行的时候需要在VC++ 工程->设置->调试->程序变量里加E:\\sample.txt E:\\encode.txt E:\\decode.txt 然后把英文文件放到E盘里.名叫samole.txt, 还有在E里新件2个txt文件.名叫encode.txt,decode.t
SVMcode
- 这是一个采用c++编写的用于机器学习文本分类的SVM算法的实现代码。-c prepared using machine learning for text classification of SVM codes.
stockforcast
- 采用vb编写的利用循环神经网络来预测股票走势的源程序-prepared using cyclic neural network to forecast the stock trend of the source
Network_BP
- BP神经网络用于分类与回归 ---------------------------------------------- 欢迎同行交流与合作-BP neural network for classification and regression ----------------------- ----------------------- welcome exchanges and cooperation with counterparts
nnforcast
- 本程序根据训练好的网络文件ANN.mat预测新的数据文件，得到均方误差，并画出预测数据和原数据的对比图。此程序运用到了很多Matlab编程中常用到的表达方式，还有一些神经网络编程的基本概念的表达，如归一化的表达。希望能对别人有所帮助.-the procedures under the trained network file ANN.mat anticipating new data files, to be mean-square error. and the mapping out of t
bpinmatlab
- 这是个基于监督式bp神经网络的分类元程序，希望对大家能有所帮助 -This is a supervised bp based on neural network classification yuan procedures in the hope that we can to help
filter-from-mat-prac
- 低通滤波器 提供1种滤波器，oneself设计的need the guidance thanks!-low-pass filter with a filter types. oneself design need the guidance thanks!
1121204716163470
- 模拟光在二维介质中传输，用FDTD方法，Matlab程序编写．-in a two-dimensional simulation of optical transmission medium, using the FDTD method, Matlab programming.
2d3d
- 模拟光束在二维三维介质中传输，用FDTD法，Matlab语言编写-beam simulation in 2D and 3D transmission medium, using the FDTD method, Matlab
c++date
- 其中一部分是自己写得,一部分是摘录的,希望站长能批准,我以后一定多多努力上传!-part of their written, in part extracts of the hope that the station will approve, I certainly remains to be done after the upload!