查询词典 neural network

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。

The fuzzy neural network is used to identify the dynamics of the system to be controlled, the trained fuzzy neural network is used in the inverse system method for chaos control and chaotifying control.

采用模糊神经网络洲触被控系统的动态特性，将训练好的神经网络应用于逆系统方法中，实现了混沌系统的控制和混沌化控制。

The simulation results show that the novel BP wavelet neural network based on IPSO not only has the good local property of wavelet analysis and the learning and classification capability of artificial neural network, but also has the fast global searching advantage of particle swarm optimization algorithm.

实验结果表明，基于改进的粒子群优化算法的BP小波网络不仅具有小波分析良好的局部特性以及神经网络的学习、分类能力，而且具有粒子群优化算法全局快速寻优的特点。

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 new approach, named Rule_Based Neural Network Expert System, is presented in this paper, which combines the merit of expert system, neural network and fuzzy theory.

论文提出的基于规则的神经网络专家系统方法结合了专家系统、神经网络、模糊技术的优点，提高了诊断效率，加快了诊断速度，并能对诊断过程作出必要的解释，克服了传统专家系统诊断和神经网络系统诊断的缺点。

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。