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likelihood function相关的网络例句

查询词典 likelihood function

与 likelihood function 相关的网络例句 [注:此内容来源于网络,仅供参考]

Secondly, using the relation between the weighted modified K-functional, the weighted modulus of smoothness ,the weighted main-part modulus of smoothness . we get the pointwise direct and inverse approximation theorem with Jacobi weight for Szdsz-Kantorovich operator. Thus some results on w = 0w(x denotes the weight function, Ditzian-Totik modulus and classic modulus are extend.

其次,引入一种改变的带权K-泛函,利用带权光滑模和带权主部光滑的关系及带权光滑模与改变带权K-泛函的等价性,关于Szász-Kantorovich算子,讨论了一阶矩不为零的算子的点态带Jacobi权逼近正定理及等价定理,推广了已有的权为零及Ditzian-Totik光滑模和古典光滑模的结果。

The theory of function approximation is used to establish the transient model of thrust vectoring with the data calculated.

利用该程序计算了某矢量喷管在不同的压比、面积比和几何偏转角下的200多种三维有粘流场,获得了矢量喷管的性能数据。

In approximation theory,the approximation of non-smooth function |x| is a very classical problem.

在逼近论中,非光滑函数|x|的逼近问题是一个非常经典的问题。

Landau's type inequality has some contribution to approximation theory of function and theory of inequality.

Landau's型不等式在函数逼近论和不等式理论具有一定意义。

A function approximator like an ANN can be viewed as a black box, and when it comes to FANN, this is more or less all you will need to know.

像一个神经网络函数逼近可以被看作是一个黑盒子,当它来到范,这是或多或少所有您需要知道的。

Thanks to robust nonlinear approximate function and computational cost, a feed-forward neural network as optimal approximator is employed.

考虑算法的非线性逼近能力和计算速度,采用了神经网络作为优化求解器。

The thesis makes a preliminary exploration of the necessary conditions for fuzzy logic systems as universal approximator for nonlinear function, which is an important theoretical problem of fuzzy logic systems.

这一研究的重要意义在于,我们是在一个统一的框架下来对模糊逻辑系统的这一理论问题进行研究的,是这一研究领域开创性成果。

Methods The relationship of dynamic model′s input and output was analyzed and a basic structure of system identification model based on the principle of optimization in model reduction and the property of a function approximator to be composed of feed-forward networks was presented.

分析了控制系统动态模型的输入、输出关系,依据模型等效的最优化原理和神经网络任意逼近有限不连续函数的性质,提出神经网络辨识模型的基本结构。

The characteristics of B|spline basis function is first discussed, based on which B|spline neural network is proved to be a universal approximator.

1引言对于一个给定的非线性函数,我们都知道用神经网络可以以任意的精度来逼近它,原因就是神经网络是全局逼近器[1]。

A SVM approximator is constructed to monitor the behavior of dynamic system according to in-suit learning of the nonlinear fault function.

主要通过在线学习故障特性对系统进行监测,利用SVM的ε-不敏感损失函数控制SVM的输出,抑制模型不确定性的影响,从而提高故障诊断系统的鲁棒性。

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推荐网络例句

A carrier gas such as nitrogen is directed through line 20 and valve 22 to connect with line 26 and mix with the gas sample.

如氮气之类的载体通过管线20和阀22引入,与管线26相通,与气体样品混合。

But for the most part, knaves and parasites had the command of his fortune

然而支配他的家产的大多是恶棍和寄生虫。

For he that is now called a prophet, in time past was called a seer.

他们就往天主的人所住的城里去了。