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neural相关的网络例句

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与 neural 相关的网络例句 [注:此内容来源于网络,仅供参考]

A decentralized control law is proposed which combines the approximation method of neural network with sliding mode control.

针对一类具有未知界扰动和子系统部分已知的非线性大系统,结合神经网络逼近方法、滑模控制研究了一种新的分散鲁棒自适应控制方法。

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。

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。

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]。

After associating with the fuzzy neural network approximator and performance, the controller performs as well as the sliding mode controller and meanwhile smooth the control actions.

在引入模糊类神经网路近似器及概念后维持了系统的强健性及改善了系统控制输入的切跳现象。

One of the key issues in the design of fault diagnosis scheme is the effect of modelling uncertainties and disturbances. By using neural networks observer or approximator, the fault detection and diagnosis strategy for a class of nonlinear systems with modelling uncertainties are investigated.

而非线性系统故障诊断算法的鲁棒性则是一个极其关键的问题,本文主要针对非线性系统,进行了基于神经网络的鲁棒故障诊断方法研究。

Using the RBF neural network approximator, the main assumption of the first approach is that the minimal approximation errors satisfy certain bounding conditions.

利用RBF神经网络逼近器,第一种方法主要的假设是最小逼近误差满足确定有界条件。

In this Thesis, three different controllers for the longitudinal car following system, including a fuzzy logic controller, a sliding mode controller , and a sliding-observer-based sliding mode controller with indirect adaptive fuzzy neural network approximator and performance, are proposed.

在本文中,我们提出以三种不同的纵向车队控制器,包括模糊控制器,滑动模式控制器,以及以滑动模式观测器为基础的滑动模式控制器,并搭配非直接适应性模糊类神经网路近似器及概念来满足系统的强健性及表现。

The procedures of determining confined aquifer parameters by BP neural network were introduced...

为说明BP神经网络求含水层参数的原理,本文以文献数据给出了基于非稳定流抽水试验的BP神经网络求承压含水层参数的过程。

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The relationship between communicative competence and grammar teaching should be that of the ends and the means.

交际能力和语法的关系应该是目标与途径的关系。

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这不是纸上谈兵式的交易,这是人与人的业务,而且涉及金额巨大。