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approximator相关的网络例句

查询词典 approximator

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

Two kind of function approximator are involved, the state aggregation method and the linear construction approximation method.

因此本文的第二部分对平均报酬准则值函数近似问题进行了研究。

The algorithm had the feature of fast convergence and so it was a good approximator.

本算法具有快速收敛性,是一个良好的逼近器。

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。

Neural networks is viewed as a universal approximator for nonlinear functions, but there are some fatal bugs with it, so it is necessary to find another method more right for neutralization process.

神经网络是目前中和过程非线性系统建模中常用的一种建模方法,但本身具有一些难以克服的缺陷降低了它的发展和应用效果,因此寻求更适于中和过程非线性系统建立模型的理论及方法是十分必要的。

This paper presents that FCP network model and improved T-S model used in the disquisition are universal approximator, with the latter proved.

本文指出文中用到的FCP网络模型和改进T-S模型为通用逼近器,同时给出后者的证明。

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。

Finally,a global nonlinear controller is obtained with this approximator.

该方案可以针对发动机分段线性化模型,利用成熟的线性控制设计方法设计非线性控制器,且控制器结构简单、实时性好。

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。

Prove that this kind of fuzzy inference model is an universal approximator, and proposed one method identifying this fuzzy model from training data set.

提出了带概率因子的模糊推理模型,证明了该种模糊推理系统是一个通用逼近器,并给出了一种从训练数据集中辨识该模糊模型的方法。

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