查询词典 neural

The compensative fuzzy neural network, which combines compensative fuzzy logic with neural network is introduced.

该文应用的补偿模糊神经网络是结合补偿模糊逻辑和神经网络的混合系统。

The paper aims at the difficulty of preference representation, according to the concept of preference number and structure and compound rule, builds the model for aggregating group preference, and denotes preference structure with model of neural network, then gives out a methodology that preference is denoted by interval number, builds the model based on neural network and group preference, so preference representation is nonlinear, self-adapting, relearning.

针对决策偏好表示和集结的难点，在给出偏好由数量描述和结构描述的概念基础上，根据群体决策复合准则，建立了群体决策偏好集结的模型，并将神经网络模型用于表示决策者的偏好结构。提出用区间数表示决策者偏好的方法，建立群体偏好表示的神经网络模型，使得偏好的表示具有非线性，自适应及可学习的特点。

Since the constringency of the BP neural network algorithm is too slow and generalization capability of neural network is not ideal, the disadvantageseffect the classification identification.

BP神经网络算法存在收敛速度慢和网络泛化能力差的缺点，影响分类识别率。

Fuzzy neural networks ; approximation capability ; continuous function ; density ; monolithic fuzzy neural networks

模糊神经网络；逼近能力；连续函数；稠密；单体模糊神经网络

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。

Putt your way through 36 fun-filled holes of minigolf on 3D designed courses with elevated greens, bunkers, bridges and water hazards, among other crazy obstacles.

您的推杆方式，通过36个有趣的填孔迷你的三维设计的课程，以提升绿党，掩体，桥梁和水的危害，除其他疯狂的障碍。

Some participles can be used either as attributes or as predicatives.

有些分词既可当定语用，也可当表语用。