fuzzy finite state automaton造句

Grammar inference has received more and more attention due to its wide application . this paper is concerned with the combination of several optimal algorithms with this research field . in chapter 1 , we begin with some results of the grammar inference using neural networks and then a construction method is proposed to induce the fuzzy finite state automaton
文法推理由于其广泛的应用前景而受到越来越多的关注，它已被成功地应用于：句法模式识别[ 13 ] ，演讲和自然语言的处理，基因分析，图像处理，序列预测，信息检索，密码术等等。
As a special case of lattice - valued finite state automata , mizumoto fuzzy finite state automaton is considred . furthermore , we obtain a minimization algorithm of mizumoto fuzzy automata . we obtain our results mainly by compare and contrast , analysis and synthesis , induction and reduction to absurdity
此外,本文对格值有限状态自动机的一种特殊类型? ? mizumoto型模糊有限状态自动机的状态最小化约简问题也作了一些探讨,给出了mizumoto型模糊有限状态自动机的一种状态最小化约简算法。
It's difficult to find fuzzy finite state automaton in a sentence. 用fuzzy finite state automaton造句挺难的