形式描述 meaning in English
formal description
Examples
- First , the basic knowledge of intrusion detection is introduced . then the principal part of snort and the module of its working process is presented with the procedural graph , and the typical snort rules is analyzed . last , a concrete apply scheme is put forward and the reform from ipv4 to ipv6 of snort is discussed
首先，本文介绍了入侵检测技术的基本知识，接着以程序流程图为主要形式描述了snort系统主体及各模块的工作流程，随后分析了snort的一些典型规则，而后提出了一个具体的应用方案，最后探讨了在ipv4向ipv6过渡期snort系统的改造。 - Dissipative property and dissipative inequality in linear and nonlinear system are studied . the relation between different robust performances , control parameters and dissipative inequality is presented and is described in a unified maths formula . namely , the main equation under unified framework via various control problems is built
研究线性和非线性系统的耗散性和耗散不等式结构，给出系统不同鲁棒性能和控制指标与耗散不等式的关系，并用统一的数学形式描述，即针对各类控制问题建立在统一框架下的系统分析的主控方程。 - Second , emphases were put on set authentication research , an architecture of set authentication was proposed to expound the intelligent architecture design theory fitting with layered model . then , with displaying the protocol model , the process control principle was analysed , and more attention was taken to discuss the mathematic model of rsa algorithm and integration of various model methods , to give the component model based on main - program / sub - process architecture family and formalized description . next , by establishing the usercase model , activity model , object structure model and sequence model in order , and based on the data model , a lot of measure were taken to optimize these models . finally , the main framework of set authentication in acme template was given , with the java implement and aop implement for typical applications together
然后重点对set认证的领域模型进行了研究与分析,提出set认证的领域框架,阐述了与层次模型相适应的智能软件构架设计思想;进而提出set认证的协议模型,分析其过程控制原理,并且进一步探讨了rsa安全算法的数学模型和多种建模机制的综合应用,给出基于主程序/子过程体系结构风格和形式描述的构件模型。在依次建立set认证的用例模型、活动模型、对象结构模型、顺序模型的基础之上,分析得到了系统的数据模型,然后使用多种手段对模型进行优化。最后给出了set认证系统主要框架的acme描述,以及set认证系统中的典型应用的java实现和面向方面实现。 - The content of this paper is arranged as foll owing : chapter 1 introduces the concept of credit , credit risk and credit assessment , as well as the history and development of credit assessment ; chapter 2 introduces the history of ai technology , and the background of expert system and neural network . characters and disadvantages of expert system and neural network are presented respectively and the necessity of combining expert system and neural network is lightened ; chapter 3 shows the process of dealing with sample data , including the treatment of exceptional data and factor analysis , and puts forward the concrete framework of the mixed - expert credit assessment system ; chapter 4 introduces concept of object - oriented technology , and constructs object model and functional model after analyzing the whole system . it also illustrates the implementation of concrete classes by an example of rule class and the inference algorithm in the form of pseudocode ; chapter 5 introduces the structure of the whole system , the major functional models and their interfaces , and the characteristic of the system is also generalized ; chapter 6 summarizes the whole work , and points out the remaining deficiencies as well as the prospective of this method
本文具体内容安排如下：第一章介绍了信用、信用风险、信用评价的概念，回顾了信用评价的历史、发展和现状，并综合各种信用评价模型，指出这些模型各自的优缺点：第二章简单描述了人工智能技术，着重介绍有关专家系统与神经网络的基础知识，通过总结它们的优缺点，指出结合专家系统与神经网络构造混合型专家系统的必要性；本章还介绍了神经网络子模块的概念，提出了混合型专家系统的一般框架与设计步骤：第三章对样本数据进行处理，包括异常数据的剔除、因子分析等，提出了信用评价混合型专家系统的具体框架结构，介绍了系统知识库的主要部分、基于优先级的正向推理机制的流程、以及基于事实的自动解释机制的具体实现方法；第四章介绍了面向对象技术，进而采用面向对象对信用评价系统进行分析，建立了对象模型和功能模型，并在此基础上，采用c + +语言以规则类为例说明系统中具体类的实现，用伪代码的形式描述了推理的算法；第五章描述了整个系统的结构，对系统主要功能模块和界面进行了介绍，并总结系统的特点；第六章总结了全文，指出本文所构造系统存在的不足以及对将来的展望。 - This improved bp algorithm was here used to predict some stock prices of shenzhen city to verify its accuracy and rationality , for the sake of roundly characterizing the trait and rule of the stock market , the model has gathered 500 groups of primary data from 3 . 1st , 2001 to 4 . 11th , 2003 , labored some factors that influence the effect on predicting the trend of stock prices by synthetically applying the means of elementary factor and technique analysis , thus we can extract the recursive technique parameter of proper - period , describe the vary trend of stock prices in form of fuzzy time series , and predict the ascending subjection degree of the stock prices in approaching homologous period and decide its accuracy
我们采用上述优化算法，对深市某股票价格进行了基于模糊参量的神经网络模拟。为全面反映股市的特点和规律，该模型采集2001年3月1日至2003年4月11日500组原始数据，综合运用基本因素法和技术分析法，详细分析了影响股价走势预测效果的一些因素，提取出一定周期的回归性技术参数，以模糊时间序列的形式描述股价的变化趋势，并对未来相应周期内该股票价格上升的隶属度进行预测，最后进行准确度判决。