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固定性

"固定性"的翻译和解释

例句与用法

  • The starting point is division of labor , which is the foundation of elements that affect reputation game . the reputation in three kinds of condition is studied . these kinds of condition include there is absolutely no division of labor among social members , there is fixed division of labor among social members , and there is normal division of labor
    第二部分只有第4章一章,主要研究个体(包括两个个体和多个个体)之间的信誉博弈,从影响信誉博弈最基本的因素? ?分工开始进行分析,分别分析了社会成员完全无分工状态下,社会成员固定性分工状态下,社会成员一般性分工状态下的信誉。
  • Iii characteristics and trends in rural society stratum differentiation . till now the rural society differentiation in our county / china is developing at an elementary level . it remains immature and unstable , and is characterized as incomplete , boundary - not - set , unbalanced , spontaneous and blind
    三、农村社会阶层分化的特点与趋势当前我国农村社会阶层分化尚未成熟到比较稳定的阶段,仍处于分化的初级阶段,主要具有以下基本特征:阶层分化的不完全性、边界不固定性、不平衡性、自发性和盲目性。
  • With the feature of fixation and interaction , the living space in classrooms is a dialectical unifying of the finitude and the infinite . at the same time , the transcendence to the one dimensional space is the reason why students can grasp in a short time large amounts of knowledge which is cumulated in a long time by people
    课堂生活空间具有固定性和交互作用性,是有限与无限的辩证统一;同时,课堂生活空间对单重空间的超越,是学生能在短时间内掌握大量人类积累的知识的基础。
  • This algorithm recovers the absence of the empiric in the case of the fixed - topology network and generates an optimal topology automatically . we end this chapter with some problems in the future . in chapter 2 , we present an evolution strategy to infer fuzzy finite - state automaton , the fitness function of a generated automaton with respect to the set of examples of a fuzzy language , the representation of the transition and the output of the automaton and the simple mutation operators that work on these representations are given
    目前,国内外对神经网络与自动机的结合的研究己取得了一系列成果;在第一章,我们首先将对这些结果以及这个领域的研究思想与方法做一个概要的介绍;然后提出一种推导模糊有限状态自动机的构造性算法,解决了仿真实验中所给出的具体网络的隐藏层神经元个数的确定问题;在实验中,我们首先将样本输入带1个隐藏层神经元的反馈网络训练, 150个纪元以后增加神经元,此时的新网络在124纪元时收敛;而blanco [ 3 ]的固定性网络学习好相同的样本需要432个纪元。
  • 更多例句:  1  2  3
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