Hello User This is nothing, but a simple program which if kept in start of windows will shut down the system by itself within five minutes of starting. It takes the time from the system & starts its timer to shut down after 5 minutes (not considering seconds). U can use shutdown.exe,once started there is only one exit that u know only. EXIT : DOUBLECLICK TIME TO ENABLE EXIT
标签： nothing program windows simple
上传时间： 2016-12-26
上传用户：lx9076
Hello User This is nothing, but a simple program which if kept in start of windows will shut down the system by itself within five minutes of starting. It takes the time from the system & starts its timer to shut down after 5 minutes (not considering seconds). U can use shutdown.exe,once started there is only one exit that u know only. EXIT : DOUBLECLICK TIME TO ENABLE EXIT
标签： nothing program windows simple
上传时间： 2016-12-26
上传用户：yxgi5
Hello User This is nothing, but a simple program which if kept in start of windows will shut down the system by itself within five minutes of starting. It takes the time from the system & starts its timer to shut down after 5 minutes (not considering seconds). U can use shutdown.exe,once started there is only one exit that u know only. EXIT : DOUBLECLICK TIME TO ENABLE EXIT
标签： nothing program windows simple
上传时间： 2014-03-06
上传用户：ruan2570406
一个用于搜索本地文件内容的小型搜索引擎，支持词根搜索，类似于"some thing"的搜索，甚至允许单词间隔搜索，比如"some thing"~2,表示some和thing之间可以有小于两个单词的间隔，可以使用关键字and,or,not，但需要说明的是，整个程序中Tester.java是一个Facade类，本程序并没有做应用，如果要基于本程序开发出一个用户界面，可以基于Facade类进行开发，直接调用其中的静态方法就可以了，详细的说明包括设计文档可以参考压缩包中的doc/spec/的文件。
上传时间： 2016-12-26
上传用户：asdkin
％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％ ％ If desired, it is possible to use regularization by ％ weight decay. Also pruned (ie. not fully connected) networks can ％ be trained. ％ ％ Given a set of corresponding input-output pairs and an initial ％ network, ％ [W1,W2,critvec,iteration,lambda]=marq(NetDef,W1,W2,PHI,Y,trparms) ％ trains the network with the Levenberg-Marquardt method. ％ ％ The activation functions can be either linear or tanh. The ％ network architecture is defined by the matrix NetDef which ％ has two rows. The first row specifies the hidden layer and the ％ second row specifies the output layer.
标签： Levenberg-Marquardt desired network neural
上传时间： 2016-12-27
上传用户：jcljkh
Train a two layer neural network with a recursive prediction error ％ algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully ％ connected) networks can be trained. ％ ％ The activation functions can either be linear or tanh. The network ％ architecture is defined by the matrix NetDef , which has of two ％ rows. The first row specifies the hidden layer while the second ％ specifies the output layer.
标签： recursive prediction algorithm Gauss-Ne
上传时间： 2016-12-27
上传用户：ljt101007
Please carefully read the many features of your package and then write the specific function (at least 20 words). As far as possible not to let the station master of the time spent in the
标签： carefully the features function
上传时间： 2013-12-16
上传用户：ouyangtongze
This function checks the mailbox to see if a message is available. Unlike OSMboxPend(), OSMboxAccept() does not suspend the calling task if a message is not available.
标签： OSMboxAccep OSMboxPend available function
上传时间： 2014-12-04
上传用户：hphh
The SL74HC573 is identical in pinout to the LS/ALS573. The device inputs are compatible with standard CMOS outputs with pullup resistors, they are compatible with LS/ALSTTL outputs. These latches appear transparent to data (i.e., the outputs change asynchronously) when Latch Enable is high. When Latch Enable goes low, data meeting the setup and hold time becomes latched.
标签： compatible The 573 identical
上传时间： 2016-12-29
上传用户：变形金刚
The AVRcam source files were built using the WinAVR distribution (version 3.3.1 of GCC). I haven t tested other versions of GCC, but they should compile without too much difficulty. * The source files for the AVRcam had the author name and copyright information added back into them after the judging of the project, since it states in the competition rules that the author s name can not be present during their inspection. * The included source files are the ones that were submitted for the entry into the Circuit Cellar contest. I have continued to develop the AVRcam, and have added several new features (such as ignoring objects that aren t larger than a minimum size, removing tracked objects that overlap with each, and some general optimizations). If you are interested in the latest source, email me at john@jrobot.net * For more info about the AVRcam, check out http://www.jrobot.net John Orlando August 20, 2004
标签： distribution version AVRcam source
上传时间： 2016-12-30
上传用户：GavinNeko
