-
lvqnetwork
说明: LVQ神经网络的预测,可以用来进行人脸识别(lvqnetwork,a important kind of network)
- 2011-03-05 22:00:13下载
- 积分:1
-
ofdm-qpsk-mycreatechannel
ofdm系统设计,采用qpsk调制,可以轻松改变信道条件,比较研究,是非常方便的工具,我用了很多次了,很不错哦!!!(ofdm system using qpsk modulation, you can easily change the channel conditions, comparative study, it is very convenient tool, I use a lot of times, very good, oh! ! !)
- 2010-05-06 22:16:34下载
- 积分:1
-
Projet-PMC
reseaux de neurones reconnaissance alphabet
- 2012-05-02 04:26:23下载
- 积分:1
-
62788
my experiments which are very useful
- 2015-01-23 01:00:08下载
- 积分:1
-
PhysModMatlab
phsical mpdelling matlab
- 2013-11-29 10:42:17下载
- 积分:1
-
integration
Integrating m-files functions and algorithms in C++ applications
- 2014-12-19 08:53:45下载
- 积分:1
-
FFTNEW
FFT源代码,该源代码比较全面,稍微改动即可使用,欢迎下载,谢谢!(FFT source code, the source code is more comprehensive, you can use a little change, welcome to download, thank you!)
- 2015-01-12 20:20:34下载
- 积分:1
-
MST_Clustering
algoritmo arbol de expansion minima
- 2013-05-16 15:21:41下载
- 积分:1
-
masumhabib-PlotPub-v2.0-0-ga20f8be
PlotPub是一个自由和开放源码MATLAB库创建美丽、出版质量图立即从MATLAB生成或保存MATLAB图文件的数字。此库提供了一个简单的和简单的方法来修改几乎所有方面的一个MATLAB的数字。它可以出口的数字EPS、PDF、JPEG、PNG、TIFF可调的决议。PlotPub中的默认设置可以产生体面,出版准备开箱图。(PlotPub is a free and open source MATLAB library for creating beautiful, publication quality graphs instantly generated MATLAB figures or saved MATLAB fig files. This library provides a simple and easy way to modify almost all aspects of a MATLAB figure. It can export figures in EPS, PDF, JPEG, PNG and TIFF with adjustable resolution. The default settings in PlotPub can produce decent, publication ready graphs right out of the box.)
- 2015-03-23 15:56:55下载
- 积分:1
-
PSO-and-PSOEM-simulation
基于扩展记忆的粒子群优化算法(Particle Swarm Optimization based on memory)(This paper combines SVM with improved PSO (Particle Swarm Optimization with Extended Memory, PSOEM) and then builds PSOEM-SVM forecasting model. The PSOEM searches the solution space intelligently and finds out the best one. Parameters in SVM are optimized by PSOEM, which implements automation of the parameter optimization avoiding the blindness of selecting parameters. Not only does it utilize the generalization feature of SVM, but enhance the global search ability of PSO (Particle Swarm Optimization). Thus, both accuracy and speed are increased at the same time.)
- 2012-04-29 20:47:48下载
- 积分:1