登录
首页 » matlab » SimulatedAnnealingAlgorithm

SimulatedAnnealingAlgorithm

于 2008-11-12 发布 文件大小:1KB
0 238
下载积分: 1 下载次数: 0

代码说明:

说明:  matlab编制的用模拟退火算法解决0-1背包问题的具体实例(matlab prepared using simulated annealing algorithm to solve 0-1 knapsack problem specific examples of)

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

  • ReductioninMIMO2OFDMSystems
    MIMO OFDM 系统中降低峰均功率比技术研究(MIMO OFDM systems reduce PAPR Technology)
    2007-07-04 00:54:00下载
    积分:1
  • beamforming
    hay nen lay file nay di cac ban oi
    2011-06-07 21:29:20下载
    积分:1
  • Synovial
    滑膜变结构控制与matlab仿真,先进的控制方法的仿真应用(Synovial variable structure control and matlab simulation)
    2012-05-15 09:50:36下载
    积分:1
  • Reversible_Jump_MCMC_Bayesian_Model_Selection
    This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. (This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. )
    2008-03-07 23:23:12下载
    积分:1
  • Introduction-to-digital-signal-processing-and-fil
    digital signal processing, wiley publishers
    2013-11-09 21:56:05下载
    积分:1
  • 1999-A-real-time-sub-carrier-allocation-scheme-fo
    this is a base paper for describing the adaptive resource allocation. the objective is to minimize the transmit power.
    2011-10-06 23:47:44下载
    积分:1
  • TwoDimDCT
    2D DCT in matlab. inputs are original data and block size. ex) block size = [8 8]
    2011-12-21 13:05:12下载
    积分:1
  • avi
    一种关于最短路径算法的,用于对最短路径的研究(A shortest path algorithm, research on the shortest path for)
    2013-05-12 18:33:09下载
    积分:1
  • BPSK
    有关BPSK的各种收发仿真。有源程序,可直接运行出图。(BPSK Simulation for the various transceiver. A source can be directly run the map.)
    2010-06-06 19:12:24下载
    积分:1
  • composite
    Software tool for speech analysis
    2010-02-28 14:35:56下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载