神经网络

A nerve net controller have been designed on the basis of the hardware design of the AC servo system and system model. The controller include two forward nerve net with three layers . One is designed to identify the AC servo system model and another is to control. The controller use special learning algorithm which to control system at the same time and improve its constringency pace through introducing new MFBP algorithm. The intelligent control algorithmic is programmed using C++ language after the controller have been designed .

在该交流伺服系统硬件设计和系统数学建模的基础上，设计了神经网络自适应控制器，这个控制器包括两个三层的前馈神经网络，一个神经网络用于非线性系统的辨识，另一个神经网络作为控制器，此控制器采取边学习边控制的工作方式，并采用一种新型的MFBP算法实现了控制算法的快速性，在控制器设计完成的基础上，利用C++语言具体实现智能控制算法的编写。

It is related to the variational inequality problem, bilinear programming, nonlinear equation. So there is actual meaning and theories value to study how to solve it.In recent years, many algorithms for solving the generalized linear complementarity problem are put forward. But they basically belong to the traditional iterative methods, and may not be efficient since the computing time required for a solution is greatly dependent on the dimension, structure of the problem and the complexity of the algorithm used. Different from the traditional algorithms, the neural network has many advantages on calculations and real-time applications for its inherent massive parallelism and electric circuit implementation.

近年来，人们对广义线性互补问题提出了许多算法，但这些方法基本上属于传统的迭代法，由于它们的计算时间极大地依赖于问题的规模、维数以及所使用的算法，因此很难满足实时并行的要求，与传统数值方法不同，由于内在的并行分布处理信息的特点及电路实现的潜能，神经网络有着许多计算上的优势和实时性的应用，自Hopfield提出著名的人工神经网络模型-Hopfield神经网络，并将其成功应用于优化问题后，用神经网络求解优化问题得到了相当深入的研究，并取得了许多重要的成果。

The possibility was discussed that the conventional mechanic carding machine was modified with a computer automatic controlling system based on the artificial neural network.

探讨了利用人工神经网络进行粗梳毛纺毛条质量控制的原理及方法，探讨了用基于人工神经网络的计算机自动控制系统改造传统机械式梳毛机的可能性，通过比较基于人工神经网络的计算机自动控制系统与一般自动控制系统提出了基于人工神经网络的计算机自动控制系统，经对实测数据验算，控制精度十分理想。

Moreover, with its help people can also evaluate the fault-tolerant performance of ANN. In this paper, Chebyshev Inequality method, as a kind of evaluating thought, was firstly concerned in the faulttolerance analysis of ANN; 4. The variation of faulty behaviors of ANNs during the course of learning was studied by taking the discrete Hopfield neural network and Hebb learning algorithm as examples.

这种方法首次将切比雪夫不等式引入人工神经网络容错性分析当中，从而提出了对人工神经网络容错性分析采用估算的思想； 4 以离散型Hopfield神经网络和Hebb学习算法为例，着重研究了在学习过程中人工神经网络故障性能的变化。

It has become one of the important tasks in the study on modern electric system. At first, this text has briefly introduced meanings, the current development and the main methods which the electric load forecasting are used. This paper aimed at the floatability which the load data had and the nature that neural networks model is easy to fall into part infinitesimal value and low iterative speed, this paper proposed a method based on neural networks and SVM. SVM can dispel the less summation and the larger single point errors of neural networks, and the neural networks could dispel the simplification of the model of the vector support machine.

本文首先介绍了电力系统负荷预测的意义、发展现状和主要方法；针对负荷数据具有浮动的特点以及神经网络模型算法容易陷入局部极小和迭代速度较慢的缺点，提出了一种基于神经网络和支持向量机的混合负荷预测方法，此方法能通过支持向量机消除神经网络的总和较小但单点误差较大的不利现象，而神经网络消除了支持向量机的模型简单问题。

A new knowledge acquirement way is presented based on the reliability data of product, then the fuzzy semantic net which consists of FEPM and fuzzy fault tree is regard as fault knowledge representation. The formalization of the fuzzy semantic net is described, and the relative concepts and relations are summarized. A stereo-knowledge representation which consisted of FFTF, rule and fuzzy neural network which make up of the shallow knowledge of the product is presented. The integrated fault diagnosis method based on the stereo-knowledge representation is suggested. The method is as follows. The fuzzy search inference is carried out on FFTF firstly. If the node being diagnosing can be decided if it failed or not in the fuzzy search inference, the rule inference to the node is carried out with the rules which being in symptom-fault way. An equivalent method, pattern recognization inference using fuzzy neural network, can fulfill the same work.

提出了以FFTF模糊语义网络为主、基于浅知识的产生式规则、模糊神经网络为辅的产品故障知识的立体知识表示方式，并提出了基于该多种知识表示的综合性故障诊断方法，即：首先对故障产品进行基于FFTF模糊语义网络的模糊搜索推理，如果在模糊搜索推理过程中不能确定当前诊断节点故障与否，则对当前诊断节点进行基于征兆-故障形式的验证式规则推理或者对包含该诊断节点的部件／子系统进行基于模糊神经网络的模式识别推理，如果在完成或者不再进行基于模糊语义网络的故障推理，仍然不能诊断出故障节点，则对基于模糊语义网络诊断过程中形成的故障诊断子图进行神经网络推理。

By studying and analyzing the various Neural Network and intelligent fault diagnosis, associating the difficulty which is to measure the interior signal of cycloconverter, the thesis puts forward the cycloconverter fault diagnosis which bases on Neural Network and takes cycloconverter input voltage and output current as the input of NN. According to the self-learning and non-linearity of NN, it can confirm the position of SCR fault.

通过对国内外多种神经网络和智能故障诊断技术的分析比较，并考虑到直接检测变频器内部有关信息的难度，本文提出并研究了基于神经网络的变频器故障诊断技术，以变频器输入/输出有关电量特征值作为神经网络的输入，通过神经网络的自学习方式，对变频器内部晶闸管故障进行定位。

At first, this paper surveys nonlinear control and the applications of neural networks in control respectively. Then it studies definitions, mathematical descriptions and conditions of invertibility for nonlinear systems, which are used to analyze the feasibility of inverse system control method. Conclusions about the feasibility of inverse control and the realizability of αth-order inverse systems in engineering are achieved. Furthermore, this paper discusses the feasibility, structure and identification of neural network αth-order inverse system for general single-input single-output continuous or discrete nonlinear systems and various composite control methods based on the αth-order inverse. At last, as a part work of an actual project, this paper focuses on the design of neural network αth-order inverse control method for thyristor controlled series compensation in power systems and its effect in improving the stability of power systems.

本文首先分别概述非线性系统的控制与人工神经网络在控制中的应用；然后研究非线性系统各种可逆性的定义、数学描述及可逆性条件，并用于分析逆系统控制方法的可行性，得出有关逆系统控制方法可行性的结论，阐明一般情况下α阶逆系统才工程可实现；接着本文针对一般单输入单输出连续、离散非线性系统，研究神经网络α阶逆系统的可行性、结构与辨识以及基于神经网络α阶逆系统的各种复合控制方法，并给出应用例子；最后本文结合实际项目，针对采用可控串补的电力系统，设计神经网络α阶逆系统控制方法，研究其对提高电力系统稳定性的作用。

Based on the noetic science, a hypothesis about the patterns of information stored in human brain is described in detail, and it is suggested that ES and ANN are corresponding to the different ways of processing for such information--logical thought and image thought, thus providing a scientific basis for building a hybrid intelligent system.

在系统分析了专家系统和神经网络方法的优势和弱点的基础上，本文指出了将两者进行综合——建立神经网络专家系统的必要性，并针对当前神经网络专家系统研究中存在的问题，提出神经网络专家系统的建立和设计只有在思维科学的指导下进行，才能避免或少走弯路。

Third, it has a discussion on the development of modern and traditional artificial neural network technology and their application in image processing. It summaries that the model of the Pulse-coupled neural network based on Elkhorn's model of the cat visual cortex was constructed according to the mammalian vision systems. The nonlinear modulation property, which is a generic and pervasive biological pulse-coupling mechanism, is used in the construction of PCNN. So, PCNN finds many applications in image processing, including segmentation, edge extraction et al. As all known, the performance of the image segmentation depends not only directly on the adjustment of PCNN parameters and the statistical properties of image but also on the cyclic iteration times N of PCNN. If the parameters have been properly set, it turns out to be essential to select a suitable criterion to determine N.

回顾了神经网络技术的现状，指出传统人工神经网络只利用了生物神经元有限的属性进行模型构建，而90年代产生的脉冲耦合神经网络充分利用了哺乳动物视神经网络特有属性，其神经元模型除了考虑生物神经元特有的线性相加、兴奋与抑制属性外，还考虑到生物神经元特有的非线性相乘调制耦合特性；考虑了哺乳动物视神经系统视野受到适当刺激时，相邻连接神经元同步激发产生35Hz～70Hz振荡脉冲串特性等，所以PCNN网络模型更靠近真实生物视觉特性，特别是哺乳动物视神经网络，特别适合计算机图像处理应用，尤其在生物细胞图像分割、图像平滑、降噪及图像中目标的分类、计数等方面的研究。

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。