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RandomJumpMethod
随机跳跃法实现最优化问题实例程序（MATLAB code）(A program using random jump method to achieve optimization (MATLAB code))
- 2009-04-28 10:17:58下载
- 积分：1
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feinier
“物理光学”课程设计：菲尼尔衍射积分及考纽曲线的绘制，有原代码。( Physical optics course design: Fresnel diffraction integral and draw the cornu curve, the original code.)
- 2014-11-16 11:35:33下载
- 积分：1
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MatlabPlugin-Conversion
Introduction to convert matlab files into matlab plugin
- 2011-09-19 09:45:00下载
- 积分：1
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fuzzy1
经典的数学函数构建的模糊控制器，值得您的关注(Classical mathematical function to construct the fuzzy controller, it is worth your attention)
- 2015-04-16 10:52:40下载
- 积分：1
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path_planning-master
说明： 人工势场法避障 实现从势能高出往低处运动 ，实现路径规划 和避障(artificial potential)
- 2019-04-22 22:21:40下载
- 积分：1
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informationblindsourceseparation
基于信息最大化的盲源分离，采用2路混合超高斯信号，分离效果明显(Based on information maximization blind source separation using 2-way mixed super-Gaussian signal, separation effect is obvious)
- 2010-06-12 11:02:38下载
- 积分：1
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matlab
文件1：复数的表达与计算；文件2：用matlab计算∛ (-8)，并用图形表示；文件3：用符号计算研究方程sin(3)uz^2+vz+3w-a5=0的解；文件4：求阿基米德螺线r=a*θ,(a>0)在θ=0到φ间的曲线长度函数，并求a=1,φ=2п间的曲线长度；文件五：著名的Givens旋转G=[■(cos t&-sin t@sin t&cos t)]对矩阵A=[■(√3/2&1/2@1/2&√3/2)]的旋转作用。(five programs about matlab)
- 2012-03-29 23:41:50下载
- 积分：1
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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
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GeneticAlgorithms
Multicycle Scheduling under Local Timing Constraints using Genetic Algorithms
- 2010-12-11 03:46:49下载
- 积分：1
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LP_page63_68new
说明： 阵列信号处理程序，主要为毕业设计代码准备(Array signal processing, mainly to prepare for the graduation project code)
- 2010-04-23 12:09:25下载
- 积分：1
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