-
MILCOM_1998
1998年的MILCOM会议相关论文材料。(1998 MILCOM)
- 2013-05-21 21:05:44下载
- 积分:1
-
bv_4
说明: 通过调节入射光的波矢和偏振的配置,求得需要的晶格参数(By adjusting the incident light s wave vector and the polarization configuration of the lattice parameters obtained need)
- 2008-10-24 10:14:05下载
- 积分:1
-
simulation-PV--PHOTON
A. Mermoud, ISE, University of Geneva Note about PHOTON PV software survey
Note on the sensor s calibration at three sites in Northern Germany used for PHOTON
magazin s comparison of photovoltaic simulation softwares.
Pierre Ineichen, ISE, University of Geneva, May 2011
- 2014-12-10 22:29:56下载
- 积分:1
-
Cmeans
使用MATLAB软件进行模糊C均值聚类,进行迭代并观察迭代过程。(Using MATLAB software fuzzy C-means clustering, iterative and observe the iterative process.)
- 2013-11-11 17:20:06下载
- 积分:1
-
xiejinxingjiaocaiyuanma
谢金星主编的LINGO V9.0一书的源码,对学习LINGO软件很有帮助.(Xie Venus LINGO V9.0 edited one book source, useful for learning LINGO software.)
- 2007-08-13 11:17:06下载
- 积分:1
-
LS
说明: LS算法在宽带自适应波束形成中的MATLAB实现(LS algorithm in broadband adaptive beamforming in MATLAB to achieve)
- 2009-06-10 17:12:24下载
- 积分:1
-
3in1
PFUKFEKF三种滤波算法的对比比较,有图(The PF UKF is the EKF comparison of the three filtering algorithm, Fig.)
- 2012-05-28 19:31:53下载
- 积分:1
-
rjMCMCsa
可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择,主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection
This demo demonstrates 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.)
- 2013-03-11 22:29:52下载
- 积分:1
-
LP
说明: An Implementation of Karmarkar s Algorithm for Linear Programming
- 2009-12-23 03:08:59下载
- 积分:1
-
SUBTRACTIVE-CLUSTERING
SUBTRACTIVE CLUSTERING ALGORITHM
- 2014-02-20 10:47:06下载
- 积分:1