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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]

In the fifth and the sixth chapter, a class of interval BAM neural networks withmixed delays under uncertainty and a class of stochastic interval BAM neural networkswith mixed delays are introduced and studied, which include many well-known neuralnetworks as special cases.

第五章和第六章分别介绍了一类具有不确定性的带混合时滞的区间BAM神经网络和一类带混合时滞的区间随机BAM神经网络,这里混合时滞意味着同时出现离散和分布时滞。

Results and conclusion: the mathematics mechanism theory of Nervous system about their basic data and interconnection may be expressed by the neural information encoding formulation: x1=m1a/b and y1=n1c/d、x2=m2b/a and y2=n2d/c The neural information encoding formulation have novenary and undecimal and many other scales. All Periphery Nervous- Cerebral Cortex- Sympathetic Nervous have obvious and invisible encoding data in 2 kinds: yin and yang ,2kinds:ambulatory and static state, 3 grades: Max Med and Min. they all exist in obvious or invisible type. Just like a cogwheel system and there is a inter-meory function among the data.

结果与结论:神经系统基本数据及其相互关系的数学机制可用神经信息编码计算公式:x1=m1a/b与y1=n1c/d、x2= m2b/a与y2=n2d/c表达;神经信息编码计算有9与11等多种进位制;周围神经-大脑皮质-交感神经皆以隐性或显性型式存在阴阳两种静动两类大中小三级编组数据,犹如齿轮系统,数据之间起着互记功能;45对周围神经-54对大脑皮质分区-15对交感神经、脊神经前根与后根神经小束数之比3/5等神经系统基本数据皆是由数学计算机制决定形成。

By disposal of partial least-squares regression, the collinearity of roadway surrounding rock displacement influence factors is removed and the principal components having optimum explanation to dependent variables are extracted. It makes node numbers of neural network input layer cut down to three from seven, and has effect of simplifying structure and strengthen stability of neural network.

通过偏最小二乘回归对巷道围岩的位移影响因子的处理,消除了影响因子的线性相关性,并提取了对因变量解释性最强的成分,使BP网络的输入层节点数目由原来的7个减少到3个,起到了简化网络结构,增强网络稳定性的作用。

The comparison of different the segment results for color image of blood cell with BP neural and RGB threshold value method is given in this paper, and the conclusion that BP neural network is better than the RGB threshold is derived.

给出了对血液细胞彩色图像采用BP神经网络与RGB阈值等不同方法分割效果的比较,得出BP神经网络法优于RGB阈值法的结论。

Fuzzy-Neural network is a new intelligent control technology. It is combinative production of fuzzy logic control and neural control.

模糊神经网络是近年来发展起来的一种智能控制技术,是模糊逻辑控制与神经网络相结合的产物。

A great amount of tested results indicate that the neural parallel control method can achieve better control performance than the conventional control methods without neural compensational controller.

大量的实验数据表明,神经网络并行补偿控制方法的控制效果明显优于无神经网络补偿的经典控制方法。

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

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