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可微性的英文

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"可微性"怎么读用"可微性"造句

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  • derivability
  • derivative
  • differenzierbarkeit differentiability

例句与用法

  • The example that ultimately drove home the distinction between continuity and differentiability was given by him .
    最终讲明白连续性和可微性之间的区别的例子是由他给出的。
  • Study of the differenability of a function of many varibles
    多元函数可微性研究
  • The decision of the differenability of a function of many varibles
    多元函数可微性的判定
  • An extension of sufficient conditions on the differential calculs of imaginary function
    复变函数可微性充分条件的推广
  • Studies on equivalence of the distribution reduction and the strictly convex function based reduction in decision tables
    多元凸函数的连续性及可微性
  • This article was to offer the necessary condition and appliction of differentiable complex function in polar coordinates system
    摘要给出极坐标形式的复变函数的可微性充要条件的证明及其重要应用。
  • In chapter 3 , we set some new conceptions of g - derivative , and make a research on the relations among these new derivatives and the convexity of an operator
    第三章提出了一些新的g -可微概念,并研究了算子的凸性与这些新的可微性之间的关系。
  • Based on the " size " of the set of perturbed minimal points in the variational principle , the differentiability of lower semicontinuous functions is examined by means of approximation of the infconvolution sequence
    摘要通过函数的下卷积函数列的逼近方法,在变分原理中从扰动最小值点集的“大小”入手,研究了下半连续函数的可微性
  • In order to find out a novel fuzzy inference algorithm being superior to cr1 algorithm and a novel fuzzy neural network , the author deduces nine kind of triple i algorithms by nine fuzzy operators . further more , the author compares these algorithms with the ordinary intuitional rules respectively and gives a conclusion that rl - type triple i algorithm is rather more closely to the intuitional rules . because fuzzy neural networks require the conditions of continuous and differential on membership functions of fuzzy sets and fuzzy operators of fuzzy inference , by means of comparison study , the author obtains a conclusion that the fuzzy neural networks with production operator and cr1 inference algorithm are very fit to study the problem of control
    为了找出优于cri算法的模糊推理方法和新型模糊神经网络,本文首先对常用九种模糊算子给出了具体三i算法,并从模糊推理的另一个方面,考察了各种算法对日常直观模糊推理规则的贴近程度,得出“ r _ l型三i算法贴近日常直观推理规则”这一结论;同时,考虑到模糊神经网络要求“网络输出保持对模糊算子和隶属函数连续性、可微性”这一特性,通过比较研究,得出利用乘积算子和cri推理的模糊神经网络最适合控制问题。
  • Aimed at multiple - limit , multiple - object , non - linear , discrete of voltage / var optimization and control , on account of whole evolution of evolutionary programming , no demand for differentiability of optimal function , and random search , it can obtain global optimum with mayor probability , this paper solve optimal function with evolutionary programming
    在对优化的具体实现过程中,由于进化规划着眼于整个整体的进化,对于所求解的优化问题无可微性要求,采用随机搜索技术,能以较大的概率求解全局最优解的特点,针对电压无功控制模型是一个多限制、多目标、非线性、离散的优化控制问题,因此应用进化规划算法进行模型的求解。
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