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initial approximation相关的网络例句

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

Then for discrete time single-input single-output system,a theorem of Hankel-norm approximation is proposed and proved.

相反,有限脉冲响应滤波器可以得到严格的线性相位,但是要获得一定的选择性则信号时延较大。

Taylor theorem use polynomial approximation function to link the known function with its derivative in different orders.

作为一元函数微分学的顶峰,Taylor定理重要的作用之一是在一个给定点的附近,将函数近似地用多项式来代替。

And then, the GFNN (generalized fuzzy neural network) is put forwand, the GFNN approximation theorem is proved.

从非线性系统本身的物理背景出发,根据系统本身的内在特性、先验知识和经验建立系统辨识模型,提出了广义模糊神经网络。

Since the structure self-organization and self-learning abilities of GFNN, it is different from the universal approximation theorem of FLS and BP theorem of NN.

由于GFNN的结构自组织和参数自学习能力,使得它与模糊逻辑系统中的万能逼近定理以及人工神经网络的BP逼近定理不同,GFNN不再只是一个存在性定理,它给出了GFNN的实现过程。

By using the interpolation mechanism of fuzzy system, an approach of building the series of fuzzy systems, which can uniformly approximate any continuous function on a compact domain to any accuracy, is given, and then the universal approximation theorem is generally proved.

利用模糊系统的插值模型来代替被控对象的真实模型,设计了一个自适应模糊控制策略;为保证系统的全局稳定性,增加了一个补偿控制律,它是根据模糊系统的逼近误差估计量来设计的,因此这里系统跟踪误差的收敛性不依赖于模型最小误差的平方可积性[70,71]。

Main foundation is the approximation theorem of completely continuous operators and the Guo-Krasnosel' skii fixed point theorem of cone expansion-compression type.

主要工具是全连续算子的逼近定理和锥拉伸与锥压缩型的Guo-Krasnosel' skii不动点定理。

The approximation theorem of the rough neural network is proved. Then the method is applied to the fault verification of fighter plane, the simulation results show that the rough neural network is efficient.

最后将此方法应用于歼击机的故障认定系统,仿真结果表示,此粗糙神经网络可以很好地对具有区间数的歼击机故障认定系统进行故障认定。

Thirdly, for Bernstein-Durrmeyer-Bezier operators, we have given the approximation equivalent theorem in L_p(1 ≤ p≤∞).

三、我们给出了Bernstein-Durrmeyer-Bézier算子于L_p(1≤p≤∞)空间中逼近的等价定理。

Proposed in the paper are the ordered monotony property of MFNNs when the transfer function is monotone, the continuous mapping theorem, and non approximation theorem to function.

给出了单调传递函数的 MFNNs按序单调特性、连续映射定理以及非函数一致逼近定理。

Using the information consistency principle, the first step of the algorithm transforms the identification problem into a constrained convex programming ,the result of which is then used ,in the second step, to approximate systems in the uncertainty set to obtain the identified nominal model based on a polynomial approximation theorem.

第一步通过信息一致性原理把辨识问题转化为受限凸规划问题,第二步利用一个多项式逼近定理在第一步结果基础上,对不确定集中的系数进行逼近,得到辨识出的名义模型。

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Chimborazo and Cotopaxi, took me by the hand.

越过琴博腊索山和科托帕克西山。

This car is in a good condition.

这辆车的状况很好。

You can divide them into two categories.

您可以分为两类他们。