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Epsilon-NFA 的查询结果
编译器/解释器 输入一个正则表达式
输入一个正则表达式,可以使用: 小写字母或数字,表示终结符;*,闭包;+,并集;~,补集;E,空串;O,空集 然后程序将生成 相应的NFA,以及化简之后的DFA,最后再输入一个字符串,程序判断它是否满足该正则表达式
人工智能/神经网络 Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It c
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It can solve C-SVM classification,
nu-SVM classification, one-class-SVM, epsilon-SVM regression, and
nu-SVM regression. It also provides an automatic model selection
tool for C-SVM classification. This doc ...
编译器/解释器 编译原理课程设计详细文档
编译原理课程设计详细文档,包含NFA->DFA,DFA的最小化。
人工智能/神经网络 k中心点 编制和调试一个程序
k中心点
编制和调试一个程序,它将用户输入的正规式转换为以状态图和矩阵形式表示的确定有穷自动机。
1.把正规式转换为NFA
2.将NFA确定化为DFA
• #作为正规式的终止符
• 考虑复合正规式
• 开始状态号为0
其他 这是一个编译原理中的一个技术
这是一个编译原理中的一个技术,将已有的nfa转换为dfa的程序
人工智能/神经网络 libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It s
libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model selection tool for
C-SVM classification. This docume ...
GPS编程 function [U,V,num_it]=fcm(U0,X) % MATLAB (Version 4.1) Source Code (Routine fcm was written by R
function [U,V,num_it]=fcm(U0,X)
% MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J.
% Hathaway on June 21, 1994.) The fuzzification constant
% m = 2, and the stopping criterion for successive partitions is epsilon =??????.
%*******Modified 9/15/04 to have epsilon = ...