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(1) The skull slot needling integrated with language training and single language training showed improvement on lingual function and neural function patients with aphasia following the apoplexy, however, the skull slot needling combined with language training group seemed more effective than the single language training group;(2) The skull slot needling treatment can obviously improve the scores in clinical neural function, and prompt the ability of speaking language expressing, accelerate the comeback of audition comprehension, enhance the ability of iterance, quicken the reading speed and improve the veracity of reading;(3)The comeback of lingual function can be benefit for the intercourse between patients and doctor and family numbers, can build up the self-confidence of conquerring diseases, can cooperate with doctors, all these factors can affect morbid curative effect and prognosis.

（1）颅针加语言训练与单纯语言训练对中风失语患者的语言功能听理解、复述、说、阅读、出声读、抄写、描写方面、语言功能提高率和临床神经缺损均有改善作用；而颅针加语言训练组疗效优于单纯语言训练组；（2）颅针加语言训练治疗中风失语患者可改善临床神经功能、提高口语表达能力、促进听理解障碍的恢复、复述能力的提高、使文字阅读速度的加快及准确率的提高；（3）语言功能的恢复有助于患者与家属及医护人员的交流，更能够增强患者治疗疾病的信心，更好地配合医护人员进行治疗，而这些均能够影响到疾病的疗效及预后；（4）颅针与语言训练相结合能优势互补，颅针参与治疗中风失语症有积极意义。

The main content of preparation before scoring is selection of characteristics, which mainly uses Logistic regression, contingency table analysis and artificial neural network. Personal credit scoring and evaluation mainly uses general discriminant analysis, refined decision tree model, improved genetic algorithm, probability neural network and behavioral scoring model. The effect test of personal credit scoring includes fitting effect test and fitness test. The former involves right prediction rate, Kappa consistency test, ROC curve, and the latter includes likelihood ratio test, Hosmer-Lemeshow test, etc.

评分前的准备工作主要是特征变量的筛选，其中使用的主要方法为Logisitic回归、列联表分析和人工神经网络；本文使用的个人信用评分与评估方法为广义判别分析、精练决策树模型、改进遗传算法、概率神经网络和行为评分模型；个人信用评估的效果检验包括拟合效果检验和拟合优度检验两个方面，前者涉及的方法有预测的正确率、Kappa一致性检验、ROC曲线，后者主要包括似然比检验、Hosmer-Lemeshow检验等。

The thesis contains five chapters. The first chapter summarizes the development and research of switched reluctance drive, discusses the main research direction, and explains the main work in this paper. In chapter 2, hardware system which includes the design of power converter and various control circuit is discussed. TMS320LF2407 DSP is used to design the hardware circuits of SRM control system, and design details including the current detection, position sensing, fault protection, speed detecting, keyboard and display etc. are provided. Because of the full use of the abundant peripheral resources of DSP, it comes to the aim simplifying the circuit structure and heightening the reliability. In chapter 3, the application of neural network on SRM control system is introduced, a new the application of neural network and the method of sampling is proposed and a simulation system based on Matlab/Simulink is established. Chapter 4 discusses the routine designing issue. Because the modularized programming method is adopted, and multi-interrupt processing technique is used, operation efficiency of the control software is highly raised. At last, the foregoing SRM control system is tested. Speed adjustment is realized, and other targets on the research and design of SRM control system are reached, which establishes a good foundation for further research.

本文共分五章，第一章概述了开关磁阻电机调速系统(Switched Reluctance Drive，简称SRD)及其发展和研究现状，论述了其主要研究方向，并说明了本文的主要工作；接下来的一章主要讨论了SRM的硬件系统，主要包括功率变换器的设计和各种控制电路的设计，本文以TMS320LF2407为核心设计了开关磁阻电机控制系统硬件电路，给出了包括电流检测、位置检测、故障保护、测速电路及键盘和显示电路等部分电路的详细设计，充分利用了DSP的丰富外设资源，达到了简化电路结构、提高运行可靠性的目的；第三章介绍了人工神经网络在开关磁阻电机控制系统中的应用，提出了一种新的应用方式(利用GPFN神经网络调节PI参数)以及如何采取样本，搭建了基于Matlab/Simulink的仿真系统；在第四章中，讨论了开关磁阻电机控制软件的设计，采用模块化编程方法，采用基于多中断的控制程序，提高了控制软件的效率；最后，对所设计的开关磁阻电机控制系统进行了实验，实现了电机调速，达到了开关磁阻电机控制系统研究和设计的预期目标，为更近一步研究打下了基础。

In this paper, the artificial neural network for the knap problem is explored. A new neural network to solve knap problem is presented.

研究了背包问题的神经网络解法，给出了一种求解背包问题的新的神经网络模型，并证明了该网络模型收敛到背包问题的最优解。

It has been proved that if example set is of lattice point distribution the example set can be memorized by a fuzzy neural network, otherwise the fuzzy neural network will lost its memory.

通过定理，证明了在这种情况下，样本组可被模糊神经网络所记忆；证明了若样本组前n-1个样本和整个样本组的模糊矩阵的秩相等，则权向量不能调整，否则会使模糊神经网络"丧失记忆"。

In the meantime, we got several achievements during the process:Firstly, a sequence encryption algorithm of real-time video in use of one dimension piece-wise linear chaotic map is carried out. This algorithm makes use of Inter' s SSE2 special dictates and makes nonlinear change of chaotic sequences.As a result, the algorithm not only encrypts faster, but also resists several cipher analysis methods. Secondly, this paper presents a block encryption algorithm of real-time video based on chaotic neural network which makes use of numerical transient chaotic neural network to produce chaotic sequences and uses these sequences to do encryption.

同时，在实现系统的过程中，取得了以下研究成果：(1)提出了一种利用一维的分段线性混沌映射来对实时视频进行序列加密的算法，该算法利用Inter的SSE2专用指令集来实现，并对产生的混沌序列进行了有效的非线性变换，从而使该算法不仅加密速度快，并且能有效的抗多种密码分析；(2)提出了一种利用混沌神经网络对实时视频进行分组加密的算法。

A neural network architecture, K-subspaces and time-delay auto-associators, is proposed for phoneme recognition. It extends the phoneme filter neural networks approach by adding linear auto-associators to create p-dimension subspace, and an iteration is employed to improve the decision.

提出了用于音素识别的K子空间和时延自相关器神经网络结构，用将时延设计加入线性自相关器，以扩展音素滤波神经网络的方法，产生p维子空间，并采用迭代过程修改划分，以便捕获语音信号中的时间序列信息。

In nervous system of mammalia, hh exhibits crucial effects on fate regulation of neural stem cells or neural precursor cells, on axon growth and brain patterning.

近年来，有关 Hh 及其信号转导通路的研究取得了较大的进展，尤其是对 Hh 在神经系统发育中所发挥的重要作用有了新的认识。

In this paper,the new method is presented to determine the number of hidden nodes of RBF neural networks,it makes use of the whole inputting and outputting information of training samples to establish similar matrix of samples,then to determine the number of hidden nodes of RBF neural networks by maximal matrix element method.

利用训练样本输入输出全部信息建立样本间的相似矩阵，然后采用最大矩阵元法来确定RBF神经网络隐层节点数。

The theory of neural networks comes from American psychologist McCulloch and mathematician Pittss article in 1943. They described neural network with logistic and mathematical language.

神经网络的理论研究起源于1943年，美国心理学家McCulloch与数学家Pitts合作，用逻辑的数学工具研究客观事件在形成神经网络中的表述，从此开始了对神经网络研究的热潮。

Singer Leona Lewis and former Led Zeppelin guitarist Jimmy Page emerged as the bus transformed into a grass-covered carnival float, and the pair combined for a rendition of "Whole Lotta Love".

歌手leona刘易斯和前率领的飞艇的吉他手吉米页出现巴士转化为基层所涵盖的嘉年华花车，和一双合并为一移交&整个lotta爱&。

This is Kate, and that's Erin.

这是凯特，那个是爱朗。