FDTDzhuRCS

基于SOM神经网络的基金业绩分类评价，内含PPT(SOM neural network based classification of fund performance evaluation, containing PPT)

说明：  matlab中最短路问题的算法，就是求从网格的起点到终点的长度（总权）最小的通路。 附注释(the shortest path problem in matlab algorithms, is seeking a starting point from the grid to the end of the length of (total) of the smallest channels. Annotated)

For energy management researcher

这是本人编写的PLS建模程序，希望对大家关于该方面的研究有帮助。(This is my procedure to prepare the PLS modeling, I hope all of you on the research helpful.)

程序来自《现代通信系统－使用matlab》英文版 已经调通！并加上了注释。 希望对大家有帮助 GOOD　LUCK！(Program from the modern telecommunication system- using matlab "in English Have adjustable tong! Plus comments. We want to help m applying to! )

说明 在此分类的PRJ我们试图通过分配给每个签名的两个不同的公司标识由一个特别号码提取水平和垂直扫描每幅图像矩阵。每个标志图片被截断成二进制后调整大小。这是由核心例行imcount.m，而主编testpng.m运行compelte测试结果显示出来。每个标识的痕迹便可以进一步处理像一个合适的神经网络学习，推理机等熵类分类指数使用的系统是更好的有关报告，从http://cag.dat下载的解释。 demokritos.gr/publications/TR2011-1.pdf。 该例程index0.m提取每个图像矩阵的行/列聚类分析，现在可以用来替换为最新版本的“cluster.m“另一包“DEC2NARY“我们Mathworks公司提供的帐户中。 MATLAB的MATLAB的版本7.4（R2007a）(Description In this prj we attempt to classify a number of Company Logos by assigning to each 2 distinct signatures extracted by a special horizontal and vertical scan of each image matrix. Each Logo picture is truncated to binary after resizing. This is done by the core routine imcount.m, while the main prog testpng.m runs a compelte test and displays results. Traces of each Logo could then be further processed by an appropriate learning system like a Neural Net, an Inference Engine, etc. The entropic-like index used for classification is better explained in the associated report downloadable from http://cag.dat.demokritos.gr/publications/TR2011-1.pdf. The routine index0.m used for extracting the cluster analysis of each image matrix row/col can now be replaced by a most recent version "cluster.m", contained in another package "DEC2NARY" available by our Mathworks account. MATLAB release MATLAB 7.4 (R2007a) )

逆合成孔径雷达成像，目标直线运动，估计速度后补偿成像，效果很好(Inverse synthetic aperture radar imaging, target linear motion, after an estimated rate of compensation for imaging with good results)

KVM MIPS: Binary Patching for privileged instructions, reduces traps.

基于角点信息和透视变换的图像镶嵌，使用matlab实现，具有良好的效果(Corner-based information and perspective transformation of the image mosaic, the use of matlab to achieve, with good results)

基于matlab的模糊神经网络仿真源程序(Matlab-based fuzzy neural network simulation source)