Study on LD Pumped Yb3+ -doped Double-clad Fiber Lasers數值分析對線形腔LD泵浦摻鐿的雙包層光纖激光器進行研究，分析了單端泵浦和雙端泵浦的泵浦光及激光輸出功率和增益在光纖中的分布，結果表明，非均勻泵浦比較適合高功率光纖激光器。
標簽： Double-clad Pumped Lasers Study
上傳時間： 2014-01-12
上傳用戶：我們的船長
DB2 Study Road Map
上傳時間： 2016-04-04
上傳用戶：sammi
MCP neural network by excel
上傳時間： 2016-04-06
上傳用戶：nanshan
Example results from 2-2-2 network
標簽： Example results network from
上傳時間： 2014-01-18
上傳用戶：13517191407
do u know what computer network is ?this book can explain for u clearly
標簽： computer clearly explain network
上傳時間： 2013-12-02
上傳用戶：fredguo
n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.
標簽： Rao-Blackwellised conditional filtering particle
上傳時間： 2013-12-17
上傳用戶：zhaiyanzhong
On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標簽： demonstrates sequential Selection Bayesian
上傳時間： 2016-04-07
上傳用戶：lindor
DShow player based on wince 6.0 vs2005
上傳時間： 2014-01-09
上傳用戶：tianjinfan
SHAPE Example based on vs2005 Wince6
標簽： Example Wince6 SHAPE based
上傳時間： 2016-04-08
上傳用戶：cmc_68289287
Image File Display based on VS2005 CE6
上傳時間： 2016-04-08
上傳用戶：lmeeworm
