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16qam
matlab code for 16qam modulator
- 2009-05-09 16:11:46下载
- 积分:1
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eg16-fabingyuce
《MATLAB神经网络30个案例分析》中的第16个例子,案例16 单层竞争神经网络的数据分类—患者癌症发病预测。希望对大家有一定的帮助!(The MATLAB neural network analysis of 30 cases of example, 16 cases (16 patients with single competitive neural network data classification- cancer prediction. Hope to have certain help to everybody!
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- 2013-09-20 16:31:42下载
- 积分:1
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num2words
Convert a numeric scalar to a string giving the English name of the number value (GB/US).
- 2014-12-22 16:14:28下载
- 积分:1
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NMF.tar
NMF常用源码。需要的拿去。NME常用MATLAB源码。(NMF common source. Need to take. NME used MATLAB source.)
- 2013-11-16 21:34:57下载
- 积分:1
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MATLAB-Codes
computes likelihood for ARIMA model
- 2012-11-08 23:46:30下载
- 积分:1
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ACO_on_JSSP
ant colony optimization
- 2014-02-17 18:55:25下载
- 积分:1
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oneweichafen
一维的有限差分源代码,,matlab,简单易学,方面使用,有限差分的优点就是计算简便高效(One-dimensional finite difference code)
- 2011-08-28 09:43:10下载
- 积分:1
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Optical_Flow
its really good code for optical flow estimation in image and video processing u can enjoy it
- 2013-04-02 18:43:38下载
- 积分:1
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phase_shift_deadtime
phase_shift_deadtime.rar,功率电子领域matlab仿真文件,已经验证过,程序运行正常(phase_shift_deadtime.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)
- 2013-08-26 22:36:08下载
- 积分:1
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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