登录
首页 » matlab » pso

pso

于 2007-08-29 发布 文件大小:3KB
0 172
下载积分: 1 下载次数: 81

代码说明:

  这是一个很基本的pso算法的matlab的源码。比较的简单,但是可以再这个基础上修改的(This is a very basic PSO algorithm matlab source code. Comparison of the simple, but can be modified based on this)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • ball_withzerocross
    Hespanha混杂系统模拟仿真教程的Matlab算例3(Matlab example 3 Simulation of hybrid systems (Hespanha))
    2014-11-20 23:01:55下载
    积分:1
  • LEACH-to-simulate-WSN
    在MATLAB环境下,对添加了不同能量消耗的传感器后无线传感器网络运行仿真的LEACH算法(In the MATLAB environment, LEACH algorithm added after the energy consumption of different sensors in wireless sensor networks to run the simulation)
    2015-02-02 19:40:32下载
    积分:1
  • figure_no_focus
    plot figure no focus(figure no focus)
    2013-12-04 11:26:12下载
    积分:1
  • matlab-v-analyz
    速度分析 用于地震勘探速度分析及动校正(NMO)(Velocity analysis for seismic velocity analysis and NMO (NMO))
    2009-05-17 11:44:17下载
    积分:1
  • Colormodetem
    说明:  有色噪声干扰下多变量系统的辅助模型辨识方法(Colored Noise multivariable model identification method of the auxiliary system)
    2011-03-02 09:27:26下载
    积分:1
  • MATLABFIR
    MATLAB设计的FIR滤波器,包括程序,我发了很长时间的,希望对大家有用,谢谢(MATLAB FIR filter design, including the procedure, I made a very long time, we want to be useful, thank you)
    2010-05-31 13:47:49下载
    积分:1
  • finishedimage
    Face recognition using webcam and this data.if the person exist means its gives the serial data out..this face regonition totally used by automatically
    2009-02-20 01:54:29下载
    积分:1
  • lssvmpso
    智能微粒群为最小二乘支持向量机调参的示例程序(LSSVM+PSO)(Intelligent Particle Swarm and least squares support vector machine modeling(LSSVM+ PSO))
    2009-03-23 22:48:50下载
    积分:1
  • TurboMIMO
    用Matlab仿真turbocode的算法,即编码结构(using Matlab turbocode algorithm, namely coding structure)
    2007-07-05 02:01:31下载
    积分:1
  • SVM_matlab
    利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息,所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析,最终拟合的结果是:均方误差MSE=2.35705 e-005,平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)
    2014-01-20 22:14:03下载
    积分:1
  • 696516资源总数
  • 106913会员总数
  • 8今日下载