上神经

Results In images of OCT in 45 eyes of CSC,42 eyes showed serous neurosensory detachement,2 eyes appeared retinal pigment epithelial detachement and 1 eyes combined neurosensory detachement with pigment epithelial detachement.Monitoring images of OCT in 9 eyes revealed absorption of serous fluid and decrease of neurosensory detachment.

结果 45眼中心性浆液性脉络膜视网膜病变的OCT 图像，42眼表现单纯神经上皮层脱离，2眼为单纯色素上皮层脱离，1眼同时存在神经上皮层脱离和色素上皮层脱离。9眼复查的OCT通过测量脱离高度的降低可观察到液体的不同程度吸收。

Abstract］ objective to assess a new imaging technique,optical coherence tomography,for the diagnosis of central serous choroidoretinopathy.methods forty-five cases (45 eyes) of csc were examined by ophthalmoscopy,binocular indirect ophthalmoscopy and oct.some patients were monitored by oct.results in images of oct in 45 eyes of csc,42 eyes showed serous neurosensory detachement,2 eyes appeared retinal pigment epithelial detachement and 1 eyes combined neurosensory detachement with pigment epithelial detachement.monitoring images of oct in 9 eyes revealed absorption of serous fluid and decrease of neurosensory detachment.conclusion oct is potentially useful as a new and noninvasive diagnostic technique for quantitative examination of patients with csc and objectively monitoring the clinical course of the serous retinal detachement in this disease.

摘要］ 目的评价光学相干断层成像(optical coherence tomography，oct )对中心性浆液性脉络膜视网膜病变的临床诊断价值。方法对45例(45眼)中心性浆液性脉络膜视网膜病变患者散瞳后分别进行直接检眼镜、双目间接检眼镜、oct 检查。9例复查时再次进行oct检查。结果 45眼中心性浆液性脉络膜视网膜病变的oct 图像，42眼表现为单纯神经上皮层脱离，2眼为单纯色素上皮层脱离，1眼同时存在神经上皮层脱离和色素上皮层脱离。9眼复查的oct通过测量脱离高度的降低可观察到液体的不同程度吸收。结论 oct 是一种新的、无损伤性的、非接触性的、并能定量的检查方法，能明确中心性浆液性脉络膜视网膜病变的脱离部位，并能进行定量的追踪观察。

An intimate knowledge of the courses and positional relations to the 12th rib about subcostal nerve, iliohypogastric nerve and ilioinguinal nerve play very important roles in avoiding injury of the 3 nerves during the operation on kidney or lumbar hernia.

熟悉腰上三角前方肋下神经、髂腹下神经和髂腹股沟神经的走行及与第12肋的位置关系，对于避免手术中损伤这3条神经具有重要的实际意义。

First, the Lyapunov functional and variation of constants method are adopted to study the effect that Sigmoid function and the relation of resistance, capacitance and current in Hopfield neural networks have on the stability of networks. The stability criterion constructed by physics parameters is obtained. Thus how the constrained relation of physics parameters affects the stability of Hopfielf neural networks is clear. Based on the study above, the perturbation model of recurrent neural networks is constructed. And the theorems of the existence of solution of perturbation model are presented.

首先，采用Lyapunov泛函法和常数变易法研究Hopfield神经网络中给出的电阻、电容、电流之间的关系以及Sigmoid函数对网络稳定性的影响规律，得出仅由物理模型参数构成的稳定性判据，从而弄清物理模型参数约束关系对Hopfield神经网络稳定性所起的作用，在此基础上，构建了递归神经网络的扰动模型，并通过讨论扰动模型解的存在性问题，给出递归神经网络扰动模型解的存在性定理。

And we used them into the inspection of these polluted gases. We used them because the constringent speed of wavelet neural network is very fast, they are not sensitive to the inputs of the network and they have the characteristic that they also can effectively approach the functions or signals. Classical neural networks mostly train the network with back propagation algorithm.

在目前常用的一维小波神经网络的基础上，我们研究了用来处理多维数据信息的小波神经网络，并将其应用于室内混合气体检测，主要是基于小波神经网络学习收敛速度较快，对网络输入不是很敏感，以及小波神经网络可以有效的进行函数逼近或者信号逼近的特点。

This paper first introduces the basic principle and concept of data fusion, summarizes levels and model structure of data fusion, summarizes common algorithms and sorts them, separately expounds data fusion algorithms, neural network and evidence theory, and lucubrates the structure design of neural network. And then, the advantages and disadvantages of neural network and the evidence theory are discussed. In order to colligate the two algorithms strongpoint and increase the fault diagnosis accuracy, fault diagnosis method using data fusion integrated Ann and evidence theory is presented and diagnosis approach of this method is expatiated on.

本文首先对数据融合的基本原理、基本概念进行了阐述，总结了数据融合的层次和模型结构形式，并对常用的融合算法进行了总结分类；分别对数据融合算法—神经网络方法和证据理论方法—进行了详细的阐述，同时对神经网络的结构设计进行了深入研究；然后对神经网络和证据理论方法优缺点进行了分析，在此基础上为了实现两种算法优势互补，提高诊断的准确率，提出了神经网络和证据理论集成的数据融合故障诊断法，并详细阐述了这种方法的诊断原理。

Uncertain upper boundary function is learned on-line by using FNN, and proportion controller strengthens the completeness of FNN control strategy. FNN is trained by using disparity target learning error produced by FIE. This can avoid supersaturating problem made by feedback error directly, and restrain influence of measuring noise and improve control performance.

由于模糊技术与神经网络的结合能弥补彼此的不足，因此本文提出了一种模糊神经网络控制器与比例控制器相结合的控制方案，采用模糊神经网络在线学习不确定函数的上界，比例控制器增强模糊神经网络控制策略的完备性。

Objective: Using neuropsychological tests to assess the cognitive functions of both major depression and dysthymia and analyse the relationship between the cognitive impairment and the alternation of peripheral blood concentration of hormones.

目的：采用目前国际上较为先进的神经心理检测工具对重性抑郁症、心境恶劣障碍及正常人群进行认知功能的评定，结合神经内分泌指标的监测，对比两种不同临床表现的抑郁障碍在神经心理学和神经内分泌指标方面的异同，为了解抑郁障碍的生物学发病机理提供依据。

The main contents are as follows:Firstly, starting with the general situation of soil erosion and the harms caused by it, the causes leading to the local soil erosion problem are analyzed comprehensively in the paper. And connecting with the measures taking place, sticking points towards the career of soil and water conservation are expatiated upon.Secondly, Back-Propagation Neural Network, One of Artificial Neural Network is used to set up a modal about the connection of the soil erosion modulus and seven factors impacts on it, such as, rainfall, rainfall largest intensity in 30 minutes, runoff coefficient, vegetation cover percent, rate of granule, rate of physical viscidity-clay, the rate of organic matter. Through the comparison with linear regression model, the second regression model, the Chinese Soil Loss Equation, it illustrated that BP Neural Network modal is more accurate than the other three modals in forecasting the mount of soil erosion, and the BP Neural Network will have some applicability in forecasting in soil erosion.

本文以霍山县作为皖西大别山区的典型区域，主要研究了以下内容：(1)从介绍霍山县土壤侵蚀状况以及所造成的危害入手，全面分析了导致当地土壤侵蚀发生的原因，并结合当地采取的水土保持相关措施，阐述了当地水土保持工作的症结所在；(2)结合上土市水土保持试验站多年实测资料和2005年实验资料，应用BP神经网络理论，建立了次降雨土壤侵蚀量与次降雨量、最大30min雨强、径流系数、植被覆盖度等因子之间关系的模型，并通过BP神经网络的预测模型与一次回归模型、二次回归模型、CSLE模型之间的对比分析，说明了建立的BP神经网络模型在土壤侵蚀预测可以取得较回归模型和CSLE模型更高的精度，也说明了BP神经网络理论在土壤侵蚀预报中具有一定的适用性。

In neural transmission experiment shows that the greater the stimulus intensity to stimulate the higher the frequency of nerve impulses, high frequency extremely low frequency rejection, for nerve inhibition; light stimuli at low frequency, for the nerve on the weak signal, there are complementary role.

在神经传输的实验中证明，刺激力度越大，激发神经脉冲的频率越高，高频率极易抑制低频率，对于神经有抑制作用；轻刺激产生低频率，对于神经上的弱信号，有相辅相成的作用。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。