ComPort Library version2.62 for Delphi 3, 4, 5 and C++ Builder 3, 4, 5
标签： ComPort Builder Library version
上传时间： 2013-12-31
上传用户：zjf3110
PCI Specification version2.2
标签： Specification Version PCI 2.2
上传时间： 2015-02-23
上传用户：fanboynet
JavaServer Pages™ Specification version2.0---jsp的规范
标签： Specification JavaServer Version Pages
上传时间： 2015-09-29
上传用户：cxl274287265
混沌时间序列分析与预测工具箱 version2.0
上传时间： 2016-06-03
上传用户：xuanjie
java servlet specification version2，全面系统介绍servlet的相关内容
标签： specification version2 servlet java
上传时间： 2014-09-02
上传用户：jkhjkh1982
matlab工具箱,使用有限元计算ODEs(常微分), PDEs(偏微分),BVPs(边值问题),包括一维,二维,三维.(Matlab Finite Element toolbox,version2.01)
标签： Element toolbox version matlab
上传时间： 2017-04-21
上传用户：yzhl1988
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.
标签： demonstrates sequential Selection Bayesian
上传时间： 2016-04-07
上传用户：lindor
This demo nstrates 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.
标签： sequential reversible algorithm nstrates
上传时间： 2014-01-18
上传用户：康郎
1、该工具箱包括了混沌时间序列分析与预测的常用方法,有: (1)产生混沌时间序列(chaotic time series) Logistic映射 - \ChaosAttractors\Main_Logistic.m Henon映射 - \ChaosAttractors\Main_Henon.m Lorenz吸引子 - \ChaosAttractors\Main_Lorenz.m Duffing吸引子 - \ChaosAttractors\Main_Duffing.m Duffing2吸引子 - \ChaosAttractors\Main_Duffing2.m Rossler吸引子 -
标签： matlab，GP，分维
上传时间： 2015-03-02
上传用户：吴相澎peng
IEEE1149.1的产生1985年由IBM、AT&T、Texas Instruments、Philips Electronics NV、Siemens、Alcatel和Ericsson等公司成立的JETAG（Joint European Test Action Group）提出了边界扫描技术。1986年由于其它地区的一些公司的加入，JETAG改名为JTAG。1988年JTAG提出了标准的边界扫描体系结构，名称叫Boundary-Scan Architecture Standard Proposal，version2.0，1990年IEEE正式承认了JTAG标准，经过补充和修订以后命名命名为IEEE1149.1-90。同年又提出了BSDL（Boundary Scan Description Lauguage，边界扫描描述语言）。后来成为IEEE1149.1-93标准的一部分。
标签： jtag
上传时间： 2022-07-06
上传用户：canderile
