神经下的

That is that information processing of neural networks is viewed as the composition of the two steps: field organization and field action, in which, field organization transformation converts input pattern into relevant structure representation, extracting the underlying architecture features and forms a architecture representation in action transformation space; The field action transformation converts the features representation into expected output. In strategies, we use the dual affine coordinates in dual flat manifold as way of representation of field organization system and field action system, which established a theoretical framework of analysis the coupling mechanism of information processing from the view of point of structure representation and model generation.

在具体人工神经网络结构描述的策略上，利用对偶流形空间上的对偶仿射坐标概念分别表示场组织变换系统和场反应变换系统，建立起从问题的结构表示和模型生成两种观点来分析信息处理的理论框架；分析了有监督和非监督学习人工神经网络模型在神经场变换机理下的形式化描述。

It is defined that the two integrating ways' characteristics of the wavelet NN and theirs applying on the equipments' intelligence diagnose. Wavelet analysis technology has the ability of analyzing strongly the non-placidity signals' time-frequency, self-studying the NN, of dealing with data distributed and collaterally, of mapping non-linear ability, and it is fit for diagnosing failures.

利用小波分析对非平稳信号强的时频分析能力和神经网络的自学习、分布式并行处理数据及非线性映射能力，以及它们适合于故障诊断的特点，说明小波与神经网络的松散型和和紧致型结合途径下产生的两种小波神经网络的各自特点及其在设备智能诊断中的应用。

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。

In this thesis, we firstly introduce several class of discrete-time neural network models and the research progress of the neural networks. By Schauder fixed-point principle we prove the existence of an equilibrium (i.e. 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。

We conclude that dual and triple injectionof local anesthetic guided by nerve stimulator increases theefficacy of coracoid block when compared with a single-injectiontechnique.

我们得出结论，在神经刺激器指导下两或三次注射局麻药与单次注射相比，能增强臂丛神经阻滞的效果。

The adaptive algorithm is adopted to design the concept mapping of cerebella model articulation controller neural network. The nonlinear quantization CMAC is presented to improve the speed and accuracy of calculation to meet the complex and dynamic demand under the nonlinear and realtime controlling environment.

采用自适应算法对小脑模型神经网络的概念映射进行设计，提出了非线性量化小脑模型神经网络算法，提高小脑模型神经网络的计算速度和精度以满足复杂动态环境下的非线性实时控制的需要。

METHODS: Thirty male SD rats were randomly divided into control group, stress group and NG-nitro-L-arginine methyl ester group. The rat model of water immersion-restraint stress was established. The expression of nNOS in colonic submucous plexus and myenteric plexus in the rats was examined by immuno-histochemical staining and analyzed by computer image analysis system.

SD大鼠30只随机分为对照组，应激组和L-NAME组，采用水浸-束缚应激动物模型，用免疫组织化学ABC法检测nNOS在大鼠结肠黏膜下神经丛和肌间神经丛的表达，应用计算机图像分析系统对其表达进行定量分析。

At first, the neural network is applied to quark and gluon jets produced from the Monte Carlo simulation of e~+e~- collision at s~(1/2)= 91.2GeV. From this application, some factors which will affect the performance of neural network are investigated.

首先我们利用神经网络来识别蒙特卡罗产生的正负电子在91.2GeV碰撞下生成的夸克喷注和胶子喷注，考察了一些影响神经网络判别性能的因素，以获得关于应用神经网络的一些规律性的知识。

These similarities and historical relevance feedbacks deposited in the neural network can be used in next retrievals to gain enhancement in the efficiency of the system retrieval.

提出了基于神经网络的交互式图像检索方法，系统根据用户对检索结果的评价，动态构造神经网络，描述图像之间的相似性；图像间的这种相似性以及本次检索结果可以作为以后检索的历史信息保存在神经网络中，从而提高下一次检索的效率。

It has been pointed out that declassification can be realized by reconstructing phase space. The method presented in this paper constructs the chaotic systems using neural networks.

本文将神经网络观测器与混吨同步控制问题结合起来，在假定混饨系统能够分解为线性部分和非线性部分的前提下，利用神经网络逼近混饨系统的非线性部分，设计出了一种利用pF神经网络的状态观测器，可以完成混饨系统的同步控制。

Neither the killing of Mr Zarqawi nor any breakthrough on the political front will stop the insurgency and the fratricidal murders in their tracks.

在对危险的南部地区访问时，他斥责什叶派民兵领导人对中央集权的挑衅行为。

In fact,I've got him on the satellite mobile right now.

实际上 我们已接通卫星可视电话了