搜索结果

dwr.xml说明文档。配置文件init部分声明那些用于建立远程bean和在方法调用中转换bean的类.这部分是可选择性配置的,多数情况下可以不必使用它,如果你想定义一个新的creator或者converter那么就必须在部分中声明,but do double check on the ones that are currently available first. ...

大学时的编译大作业，是对LL（1）语法的分析过程，会产生first集，follow集和预测分析表！

学编译原理时写的一个语法分析程序 分类:C/C++技术交流 一．[目的要求] ① 对输入文法，由程序自动构造FIRST FOLLOW集 ② 对输入文法，由程序自动生成它的LL(1)分析表； ③ 对于给定的输入串，应能判断识别该串是否为给定文法的句型。 二．[题目分析] 该程序可分为如下几步： （1）读入文法 （2）判断正误 （3）若 ...

Good morning, dear teachers. I am very glad to be here for your interview. my name is xx.I am 21 years old. I come from Dafang, a small town of Guizhou province. My undergraduate period will be accomplished in East China Jiaotong University. I major in electrical engineering and automation. I am int ...

The literature of cryptography has a curious history. Secrecy, of course, has always played a central role, but until the First World War, important developments appeared in print in a more or less timely fashion and the field moved forward in much the same way as other specialized disciplines. A ...

软件简介：HI-TECH PICC 是一款高效的C编译器，支持Microchip PICmicro 10/12/14/16/17系列控制器。是一款强劲的标准C编译器，完全遵守ISO/ANSI C，支持所有的数据类型包括24 and 32 bit IEEE 标准浮点类型。智能优化产生高质量的代码。属于第三方开发工具。能和MPLAB整合，内嵌开发环境（HI－TIDE）。 Hi-tech PICC Compi ...

gcclib This gcc 1.40 suits for Linux kernel 0.11 - 0.95 Installtion hints ----------------- This suit contains include.taz, local.taz and this README file. You must download the bootimage and rootimage and install them first. The include.taz contains all the include files for using with gcc 1.40 ...

Batch version of the back-propagation algorithm. ％ Given a set of corresponding input-output pairs and an initial network ％ [W1,W2,critvec,iter]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the ％ network with backpropagation. ％ ％ The activation functions must be either linear or tanh. The network ...

％ 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, ％ ...

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 , w ...