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measure space相关的网络例句

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The theory foundation of the method is given, which proves that the expectation and variance are uniformly convergent in measure space, and the orthogonal function series used to approach the sensitivity function is uniformly convergent.

文中描述了目标机动对命中误差灵敏度的拟合正交函数系及其一致收敛性,并用测度理论证明了小样本方法估算期望和方差的逼近的一致收敛性质。

In this paper, a ship model is used to measure space distribution of a shaft-rate electric field in lab.

文中利用船模在实验室实际测量了轴频电场在海水中的空间分布。

Ube a finite internal finitely additive measure space.

μ是内有限可加测度空间。

With four continuity of non-additive set function and the relation of four convergences of the measurable function sequence,four forms Lebesgue theorem about measurable closed-valued functions on monotone measure space are discussed,respectively.

在经典测度论中,Lebesgue定理刻画了实值可测函数序列几乎处处收敛和依测度收敛之间的关系。1984~1986年,王震源[9]先后提出了较弱的"自连续"、"零可加"、"伪自连续"、"伪零可加"等重要概念,讨论了模糊测度空间上单值可测函数序列各种收敛之间的关系,推广了经典测度论中著名的Lebesgue定理以及其他定理。

Consequently, the sensitivity of the input random variable of one neural network is defined as the mathematical expectation of the partial derivative in the probability measure space.

当神经网络的类型已知,各个输入变量的联合分布函数已知,就可以明确的求出神经网络对各输入变量的敏感性计算式。

These constructions have been shown to produce objects with the desired properties with probability 1 in an appropriately defined measure space.

这些建筑已显示出物体的产生所期望的性能与概率1在一个适当的定义测度空间。

These mappings will keep the properties of the measure space and the metric space.

通过可测空间的测度反映出了它的测度空间,证明出可测函数序列度量收敛。

We research fuzzy complex measure and the relation on convergence of measurable functions sequence on fuzzy complex measure space.

研究模糊复测度及模糊复测度空间上可测函数列几种收敛性之间的关系。

Both of the results are almost identical, while the resistance strain gauge can not be applied to the space environment, and a new method to measure space strain is provided.

从而表明,给出的函数关系正确,为太空应变测量提供了新的方法。

Then, according to phase space reconstruct technique from one-dimensional and multi-dimensional time series, the quantitative criterion and rule of system chaos which combine neural network, analyses, computations and sort are conducted on EEG signals of five kinds of human consciousness activities. The author finds that statistic results of the determinism computation in time series indicate that chaos characteristic may lie in human consciousness activities, and central tendency measure is consistent with phase graph, so it may become one division way of attractor; approximate entropy of different subjects exists discrepancy; correlation dimension and Lyapunov exponent of different consciousness activities indicate that attractors of human activities are all fractional; nonlinear quantitative criterion and rule, which unites neural network, can distinguish different styles of consciousness activity in principle, and the result of sortation takes on that consciousness activity type of arithmetic is distinguished more easily than that of abstract.

采用一维与多维时间序列相空间重构技术和系统混沌的定量判据准则,结合神经网络,对五种思维作业方式的脑电信号进行了分析、计算与分类,发现确定性计算的统计结果表明人类的意识活动中可能蕴含混沌特性,中心趋向测量(Central Tendency Measure,CTM)与相图吻合较好,可作为EEG吸引子的区分方法之一;功率谱分析反映出单个受试者的各种意识形态的差异很小,但是不同意识活动谱中的活跃频段还是略有差异的;个体之间的近似熵存在差异,同种状态下近似熵大的人可能具有更好的创新性;关联维数和Lyapunov指数的计算结果表明大脑的运动落在具有分维的奇怪吸引子上;非线性量化方法与神经网络相结合,可对人脑思维活动进行较好的分类,并且从分类结果来看数理计算类思维活动较抽象类思维活动有着更好的区分度。

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