三神经的

Chapter three emphasizes onintroducing the concept n characteristics and basic principle of ANNs, especially presents the algorithm deduction ., shortage and improved methods of backpropagation neural network which is used in this text;in addition, wide-ranging applications of ANNs in civil engineering are generalized.

第三章主要介绍了人工神经网络的概念、特点和基本原理，特别指出了本文使用的BP网络的算法推导、不足和改进方法；并总结了人工神经网络在土木工程中的应用。

Thirdly, in order to improve the learning efficiency and stability of feedforward neural network, a fast learning algorithm for neural networks based on CGM-OC approach is presented. Compared with other learning methods such as BP method, Broyden Flecher Goldfarl Shanno method and Powell method in which the derivative is replaced by the difference quotient etc, simulation results show that the proposed method is an efficient and fast one.

第三，为了提高前馈神经网络权值的学习效率及稳定性，提出一种基于正交校正共轭梯度优化方法的神经网络学习算法，通过与其它学习算法（如：BP算法、变尺度法、用差商近似代替导数的Powell法等）的比较，经仿真试验表明，本算法是一种高效、快速的学习算法。

Acellular Extracellular Matrixis three dimensional mesh stent which mainly composed by vessel of basilar membrane and coated by epineurium. As a bioactive nerve graft,it own natural construction,lower immunogenicity.

脱细胞神经细胞外基质材料是以SC基底膜管为主、以神经外膜为外套的完整的三维网状支架；它作为有生物活性的神经替代物，具有良好的仿生性，较低的免疫原性。

To find the minimum of energy function E is a part of work in the test generation based on neural network.

给出了神经网络测试生成的遗传进化方法的并行实现算法；提出了异步拟牛顿法、异步割线法和异步区间算法等三种异步并行算法，并对每一算法的收敛性及收敛效率做了分析，为神经网络测试生成方法在多机并行系统上的仿真实现提供了新的途径。

In Chapter 3 Firstly, the exponential stability in mean square and almost sure exponential stability for neutral stochstic neural networks with time-varying delay can be discussed by using the linear matrix inequality and the semimartingale convergence theorem; And our sufficient conditions are less conserative; Secondly, by utilizing the fixed point theorem, some sufficient and necessary conditions ensuring the asymp- totic stability in mean square for neutral stochastic neural networks with time-varying delays can be given.

第三章首先，利用线性矩阵不等式方法和半鞅收敛定理，考虑了一类具变时滞中立型随机神经网络的二阶矩指数稳定性和几乎必然指数稳定性，所得到的条件保守性要好；其次，采用不动点方法，给出了具变时滞中立型随机神经网络的二阶矩渐近稳定性的充要条件。

The PRL-like cells were also presented in the ventral ependyma of the lateral ventricle and the glial lamina in the basal surface of the brain. The processes of PRL-LIR cells in PPN, SCN, PVN and PAN mainly projected to the third ventricle, those in AN and ELV mainly projected to the lateral ventricle, and those in SON to the glial lamina in the basal surface of the brain. The results showed that PRL could be released into ventricularis system and participate in the regulation of the cerebrum-cerebrospinal fluid circuit.

视前室旁核、视交叉上核、下丘脑室旁核、弓状核等核团内的PRL阳性神经元有突起向第三脑室投射，伏隔核内及侧脑室室管膜上的PRL阳性神经元有突起伸至侧脑室，视上核的PRL阳性神经元也有突起投射至脑基底神经胶质板，表明鸡脑内的PRL可以释放入脑室系统，参与调节脑-脑脊液神经体液回路。

We deduce frondose algorithm of three layers BP neuralnetworks which is used in common, and discuss several important issues in designing neural networks which is used to forecast, for example, number of hidden layer, nerve cell number of hidden layer, epoch of learning, embryonic power value, decision of node number about input and outputo At the same time, this dissertation sums up things that conventional BP algorithm is improved on considering disadvantages of it.

推导了常用的三层BP神经网络具体算法，讨论了实际预测应用中神经网络设计方面的几个重要问题，如隐层数、隐层神经元数、训练次数、初始权值、输入节点数以及输出节点数的确定。同时，针对传统BP算法存在的各种各样的缺点，文中综述了对其改进的情况。

It provided an optional treatment for patients with small to medium size acoustic neuromas, and an important adjuvant therapy for treating residual and recurrent tumors

无面瘫和面部麻木，听力保留率59I2%结论伽玛刀对听神经瘤有较高的肿瘤控制率，并能保留有用听力，对面神经、三又神经损伤小，是小至中等大小听神经瘤可供选择的治疗方法，及术后残余和复发肿瘤的重要辅助治疗手段。

Result showed that in the 3-D co-culture model, NGF induced PC12 cells outgrew processes which reached the surface of the cardiacmyocytes and moved along with the beat of cardiomyocytes. Their varicosities also touched with cariamyocytes.

在三维共培养模型中，NGF诱导的交感神经元样PC12细胞长出神经突起，突起及其上的膨体能够到达跳动的心肌细胞表面，神经突起随心肌细胞一起跳动。

A three layers BP neural network model for the corrosion weight-loss of the gas turbine wheel part in heavy oil impurity environments was set up by using Nimonic 80A corrosion weight-loss data in the different heavy oil impurity environments, and the influence law of the gas turbine wheel part corrosion weight-loss was predicted.

利用三层BP神经网络，根据已有的镍基合金（Nimonic 80A合金镍基沉淀硬化）在不同重油杂质环境参数下的腐蚀速度数据，建立了燃气轮机的涡轮部件在重油杂质环境中腐蚀失重的人工神经网络模型，并进一步预测了腐蚀失重。

Do you know, i need you to come back

你知道吗，我需要你回来

Yang yinshu、Wang xiangsheng、Li decang,The first discovery of haemaphysalis conicinna.

1〕 杨银书，王祥生，李德昌。安徽省首次发现嗜群血蜱。