登录
首页 » matlab » ACO_Result2

ACO_Result2

于 2013-08-24 发布 文件大小:2KB
0 195
下载积分: 1 下载次数: 4

代码说明:

  在matlab环境下使用ACO蚁群算法解决TSP旅行商问题(In the matlab environment using ACO ACO algorithm to solve the traveling salesman problem TSP)

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

  • prim_kruskal_matlab6.5
    prim算法 kruskal算法用matlab实现 输入标准:x邻接矩阵 p节点集 输出:生成树边集 G(prim algorithm Kruskal algorithm matlab input standard: x adjacency matrix p Node Set Output: Spanning Tree margination G)
    2008-06-22 11:00:04下载
    积分:1
  • Sparse-Subspace-Clustering
    Sparse Subspace Clustering
    2014-02-20 08:12:51下载
    积分:1
  • LocalContrast
    To find the contrast of an image locally.
    2014-02-20 17:09:20下载
    积分:1
  • management
    关于工商管理的文章,一般不错,可以借鉴一下啊!(Articles on business management, general good, can learn from ah!)
    2010-07-22 13:14:17下载
    积分:1
  • 7
    说明:  这是一个可以进行插值的源代码程序,可以是样条插值,也可以是多项式插值(This is an interpolation of the source code program that can be spline interpolation, polynomial interpolation can be)
    2010-03-31 15:43:19下载
    积分:1
  • TM
    说明:  关于大地电磁法二维正演模拟,垂直断层TM模式(About the magnetotelluric method two-dimensional forward modeling, the TM mode of the vertical fault)
    2013-03-10 16:06:20下载
    积分:1
  • BVAR
    var模型的实现。针对var模型的算法,估计模型的参数。并对其进行检验(achieve var model. Var model for the algorithm, the estimated parameters of the model. And its test)
    2013-12-03 16:45:28下载
    积分:1
  • FM
    FM modulation (informatif signal, porter signal, Integration, modulation, demodulation)
    2013-05-13 22:13:59下载
    积分:1
  • fastKICA
    说明:  盲源分离FastICA、matalab程序,(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)
    2010-04-02 17:49:18下载
    积分:1
  • 3th-pro
    some matlab codes to practice matlab in the field of signal processing
    2011-06-13 15:54:36下载
    积分:1
  • 696516资源总数
  • 106409会员总数
  • 8今日下载