<％@ LANGUAGE="VBSCRIPT" ％> <!--#include file="util.asp" --> <％ Head="您放入购物车的物品已经全数退回！" Session("ProductList") = "" ％> <html> <head> <meta http-equiv="Content-Type" content="text/html charset=gb2312"> <STYLE type=text/css>.main { FONT-SIZE: 9pt } .main1 { FONT-SIZE: 14px } </STYLE> <title>清空购物车</title> </head> <body topmargin="5" bgcolor="#E6E4C4"> <diiv align="center"><center> <table width="100％" border="0" class="table1" bordercolor="#62ACFF" cellspacing="0" class=main1> <Tr> <td width="80％" valign="top"> <p align="center" class=main1><％=Head％></p> <p align="center"> <br><input type="button" value="关闭" name="B2" onclick="window.close() " style="font-size: 9pt"></td> </Tr> </table> </center></div> </body> </html>
标签： lt LANGUAGE VBSCRIPT include
上传时间： 2015-11-05
上传用户：zhaoq123
本文专门讲解如何运用这种原始套接字，来模拟I P的一些实用工具，比如Tr a c e r o u t e和P i n g程序等等。使用原始套接字，亦可对I P头信息进行实际的操作。
上传时间： 2013-12-24
上传用户：wqxstar
*--- --- --- --声明--- --- --- -----*/ /* VC6.0下运行通过 此程序为本人苦心所做，请您在阅读的时候，尊重本人的 劳动。可以修改，但当做的每一处矫正或改进时，请将改进 方案，及修改部分发给本人 (修改部分请注名明：修改字样) Email: jink2005@sina.com QQ: 272576320 ——初稿完成：06-5-27 jink2005 补充： 程序存在问题： (1) follow集不能处理：U->xVyVz的情况 (2) 因本人偷懒，本程序为加入文法判断，故 输入的文法必须为LL(1)文法 (3) 您可以帮忙扩充：消除左递归，提取公因子等函数 (4) …… */ /*-----------------------------------------------*/ /*参考书《计算机编译原理——编译程序构造实践》 LL(1)语法分析,例1: ERTWF# +*()i# 文法G[E]:(按此格式输入) 1 E -> Tr 2 R -> +Tr 3 R -> 4 T -> FW 5 W -> * FW 6 W -> 7 F -> (E) 8 F -> i 分析例句：i*(i)# , i+i# 例2： 编译书5.6例题1 SHMA# adbe# S->aH H->aMd H->d M->Ab M-> A->aM A->e 分析例句：aaabd# */
上传时间： 2016-02-08
上传用户：ayfeixiao
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
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.
标签： reversible algorithm the nsTrates
上传时间： 2014-01-08
上传用户：cuibaigao
The algorithms are coded in a way that makes it Trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/Tr 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar -xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo.
标签： algorithms problems Several Trivial
上传时间： 2014-01-20
上传用户：royzhangsz
看n2实例 #Create a simulator object set ns [new Simulator] #Define different colors for data flows #$ns color 1 Blue #$ns color 2 Red #Open the nam Trace file set nf [open out-1.nam w] $ns namTrace-all $nf set f0 [open out0.Tr w] set f1 [open out1.Tr w] #Define a finish procedure proc finish {} { global ns nf $ns flush-Trace #Close the Trace file close $nf #Execute nam on the Trace file exit 0 } #Create four nodes set n0 [$ns node] set n1 [$ns node] set n2 [$ns node] set n3 [$ns node] #Create links between the nodes $ns duplex-link $n0 $n2 1Mb 10ms
标签： simulator Simulator different Create
上传时间： 2016-07-02
上传用户：wfl_yy
SoftTimer.h 利用定时器T2模拟多个软件定时器 特点： 只占用一个硬件定时器T2，就可以扩展出多达数十个以上的软件定时器 软件定时器基本定时单位是10ms，定时范围很宽：0.01～163.84s 软件定时器数量可以按需要设定，每增加一个，只多消耗2个字节的RAM空间 利用定时器T2的自动重装特性，能够实现所有软件定时器的精确定时 所有软件定时器都工作在14位倒计时方式，用Tr和TF位控制，使用极为方便 第0号定时器专门用于Delay()函数，其它定时器可供用户程序自由使用
上传时间： 2014-01-16
上传用户：黑漆漆
linux,Unix,shell编程详细说明。本书内容全面，包括了awk, sed, Tr等常用工具的用法，对于shell初学者是不可多得的好书。
上传时间： 2016-09-04
上传用户：cccole0605
