查询词典 neural

The model generalizes the input-output function in transiently chaotic neural network to a class of continuous, differentiable and monotone increasing functions. Secondly we study the uniformly asymptotical stability of equilibrium in the non-autonomous model. Finally, several examples and numerical simulations are given to illustrate and reinforce our theories. In chapter 3, we firstly introduce a specific class of discrete-time neural network models with sinusoidal activation function.

在本文的第二章中，首先介绍了一类具有广义输入输出函数的非自治离散神经网络模型，该模型把瞬时混沌神经网络模型中的输入输出函数推广到了一般的单调递增且连续可微的函数；其次，利用Schauder不动点原理和利用Lyapunov函数逆定理依次证明了模型平衡点的存在性和在时变权值下的一致渐近稳定性；最后，对几个具体的例子进行数值模拟，数值模拟的结果更好地说明了我们的结论。

Based on Spall,the Neural Network that concealed level can automatically increase is adopted to control the Neural Network structure and it can realize optimization control of unfounded nonlinear random system.

因为系统模型未知，本文在Spall［1］的基础上采用了隐层能自动增加的神经网络，通过实时的对神经网络的结构进行控制，可以实现对未建模型的非线性随机系统的最优控制。

It is necessary for the normal structure of the neural tube in developing embryos, thus reducing the chances of neural tube defects such as spina bifida.

这是必要的正常结构，神经管胚在发展中国家，从而减少了机会，神经管畸形，如脊柱裂。

At last, the application of above modeling and control strategies has been demonstrated by the simulations of a nonlinear dc motor control problem. Under this control strategy, system identification phase is not needed, and only a controller based on the recurrent neural network is provided. Because the control and learning laws are designed with stable theory, stability and convergence problems are solved here with rigorous analysis, which can not been analyzed easily when usual BP neural networks are used.

最后通过非线性电机模型的仿真研究，表明了基于上述动态动态递归神经网络模型对非线性系统进行自适应控制的实际可行性，并且采用这种方法不需要对系统进行离线辨识，整个系统只采用了一个基于动态递归神经网络的控制器，由于整个系统是基于稳定性理论设计的，有效地解决了应用BP网络等其它前向网络时系统的稳定性和收敛性难以分析的问题。

The used chaotic neural networks has many merits, such as transient chaos and stable convergence etc., and it can effectively overcome the drawbacks of easily getting stuck in local minim in conventional Hopfield neural networks.

所提出的方法具有许多优良特性，即暂态混沌特性和平稳收敛特性，能有效地避免传统 Hopfield神经网络极易陷入局部极值的缺陷。

Objectives: To observe apoptosis and the expression of bcl-2、bax protein in the peri -hematomal brain region of Intracerebral Hemorrhage patients; so as to investigate into the relationship among neural apoptosis、the expression of Bcl-2、Bax pro -tein and Sthenia ZHENG、Protration ZHENG,as well as the relationship among apoptosis、hematoma volume and the scores of nervous impairment, to inquir the eff -ect of apoptosis in delayed neural injury following ICH and then to provide the mole -cular biology standard for the microcosmic syndrome differentiation with TCM to quest for new treatment.

目的：本课题旨在对脑出血患者血肿周围组织细胞凋亡和凋亡调控基因Bcl -2、Bax表达情况的观察。探讨中医出血中风闭脱证与细胞凋亡及Bcl-2、Bax表达的关系，及细胞凋亡与出血量、临床神经功能缺损积分的关系，从而探讨细胞凋亡在脑出血后继发性神经细胞损伤中的作用，为中医微观辨证提供分子生物学水平的依据，为探索中西医结合治疗脑出血的新途径提供理论指导。

By combining particle swarm optimization algorithm with fuzzy neural networks, a PSO fuzzy neural networks was proposed.

对粒子群优化算法与模糊神经网络的结合进行研究，提出粒子群模糊神经网络，并将其应用丙烯腈收率软测量建模。

The templet generating for HOQ based on CBR and Artificial Neural Network is also proposed with emphasis on profound analysis of the generalization ability of the learned neural network.

提出了以基于事例推理和人工神经网络为核心的质量屋模板生成技术，着重对学习后神经网络的泛化能力进行了深入分析。

In this paper, many sensor networks are distributed at different areas, firstly the local fuzzy neural network fuses the information from corresponding sensor network in character level, secondly the outputs,which are diagnosis conclusion, are fused by terminal neural network in decision level.

电力系统的继电保护和故障诊断一直是人们研究的重要课题，一旦系统发生故障，如何尽快识别故障类型、判断故障位置、及时跳闸保护以及故障排除后迅速恢复供电等，开发出这样一个实用可靠的继电保护和故障诊断系统势在必行。

The properties and expression of knowledge are discussed in brief and binary and multiple truth expression and inference of knowledge are studied focally. The neural networks which can realized the three valued logic are overviewed. The new idea of uncertain inference based on three valued logic is proposed for the first time The models of neural logic, which can realize three valued logic and uncertain three valued logic inference are proposed, too. The learning algorithm of coefficient of MVL's function based on the canonical realization of MVL network is investigated for the first time and the appropriate algorithm is proposed.

4简要地论述了知识的特征及其表现形式，重点研究了知识的真值二值和多值表示法以及基于知识真值表示法的逻辑推理；通过对目前可实现三值逻辑推理的逻辑神经元及其网络的简要回顾，指出了各自的局限性，首次提出了基于三值逻辑的不定性推理的新概念以及可实现三值逻辑和三值逻辑不定性推理的逻辑神经元模型，同时对基于这种逻辑神经元模型的推理系统的应用领域进行了探索性尝试；另外，首次对基于多值逻辑网络正规实现的多值逻辑函数的系数参数的学习算法进行了研究，并提出了相应的学习算法。

We have no common name for a mime of Sophron or Xenarchus and a Socratic Conversation; and we should still be without one even if the imitation in the two instances were in trimeters or elegiacs or some other kind of verse--though it is the way with people to tack on 'poet' to the name of a metre, and talk of elegiac-poets and epic-poets, thinking that they call them poets not by reason of the imitative nature of their work, but indiscriminately by reason of the metre they write in.

索夫农 、森那库斯和苏格拉底式的对话采用的模仿没有一个公共的名称；三音步诗、挽歌体或其他类型的诗的模仿也没有——人们把&诗人&这一名词和格律名称结合到一起，称之为挽歌体诗人或者史诗诗人，他们被称为诗人，似乎只是因为遵守格律写作，而非他们作品的模仿本质。

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。