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neural相关的网络例句

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A sufficient condition is obtained to ensure the existence and uniqueness of almost periodic solution for MAM neural network with time-varying delays by way of exponential dichotomy and contraction map theorem. Moreover, the global exponential stability of the almost periodic solution for this type of MAM neural network is proved by using Halanay inequality.

利用指数二分法结合运用压缩映射原理获得了变时滞多向联想记忆神经网络模型概周期解的唯一存在性,利用Halanay不等式证明了变时滞多向联想记忆神经网络概周期解的全局指数稳定性。

In this paper, the application of neural networks for industrial contrail control systems is introduced and the problem of building neural network model of the nonlinear control objects is described.

介绍了神经网络在工业控制系统中的应用;论述了建立非线性被控对象的神经网络模型问题;介绍了神经网络控制的主要方案,这些方案可用于过程控制和电气传动控制系统。

In accordance with discrete, non-symmetry and time-delay feedback neural networks, we provide some theoretical criteria to judge the stability for designing the networks. On continuous feedback networks, we built an algorithm to estimate the convergence region. On the HNN feedback networks, an effective optimization algorithm based on the annealing strategy and the chaotic neural network is presented, and some disciplinary conclusions are provided to guide the selection of parameters. Simulation results on benchmark problems demonstrate that the performances of our algorithm are distinctly superior to those of the classic HNN based on gradient descend and stochastic optimization methods based on probabilistic distribution.

针对离散、非对称和时延等三种类型的动态反馈网络,给出了可用于网络设计的稳定性判别准则;针对连续动态反馈网络,建立了其收敛域估计的一个算法;针对以HNN模型描述的动态反馈网络,基于退火策略和混沌神经网络提出了一种高效的优化算法,建立了可用于指导参数选择的一些规律性结论,对典型算例的仿真研究显示,改进算法在各类性能上相对基于梯度下降的传统HNN模型和基于概率分布的随机优化算法,具有明显的优越性。

A fixed point of a discrete-time neural network with generalized input-output function and by using the converse theorem of Lyapunov function we study the uniformly asymptotical stability of equilibrium in this discrete-time neural network with variable weight and give some sufficient conditions that guarantee the stability of it.

本文首先介绍了几类离散神经网络模型的由来及其研究概况,利用Schauder不动点原理证明了一类具有广义输入输出函数的离散神经网络模型平衡点的存在性,利用Lyapunov函数逆定理给出了这类离散神经网络模型在时变权值下的一致渐近稳定性的充分条件。

Results CCK possesses the ability to suppress the convulsant effects of convulsants. CCK8 is able to reduce the neural damage caused and delay the neural aging. CCK antagonists play an important role in human pain transduction.

结果 CCK作为神经递质能够拮抗致痫剂的致痫作用;CCK8还能够对抗神经元的手术和化学损伤以及延缓神经元老化;CCK在痛觉传导过程中起到了重要的整合作用。

Generalization of neural network is a very important topic for coordinate transformation in neural computation.

在神经计算中神经网络的泛化特性是一个非常重要的内容。

In this paper,adaptive control approach of cupola based on neural network is brought forward and neural network as identification and controller is used to implement the self-adaption control of temperature of cupola molten iron.

提出了一种基于神经网络的冲天炉自适应控制方法,利用神经网络作为辨识器和控制器,实现对冲天炉熔炼过程中铁液温度的自适应控制。

This paper used Elman neural network to establish the model of irrigation water use prediction, having four importing units and exporting units. The determination of concealed level neural single number used the cut-and-try method, ten units were used.

运用神经网络中Elman反馈型神经网络建立了灌溉用水量预测模型,模型输入层神经元数目为4,输出层神经元数目为1,隐含层神经元数目确定采用试验法,最终确定为10。

According to compare the results with decision tree, support vector machine, and RBF neural network, the neural network classifier with dynamic threshold has better forecasting accuracy, stability and generalization ability.

通过与决策树、支持向量机、RBF网络等方法的比较结果表明,基于动态闽值的神经网络分类器具有更好的预测精度、稳定性以及泛化能力。

This paper has given a thorough investigation into the application of BP neural network to gravitational density interface inversion as well as the implementation of wavelet theory in potential field decomposition and, on such a basis, analysed and evaluated the prospect of applying wavelet neural network to the inversion of gravitational and magnetic data.

重磁数据处理是地球探测与信息技术学科中重磁方法、理论在生产实践工作中的重要环节,其中反演问题和位场分离除了具备自身的作用外,两者并不是截然分开的。位场分离可以为反演问题提供更加可靠的先验信息,对提高反演精度具有一定的作用。反演问题是地球物理的核心问题。增

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