查询词典 knowledge base system

Four basic processes are analyzed in detail in network security decision,which are the base of NSDSS security decision. Then, developing strategies and methods are analyzed according to the objective and task of the system. Antetype method with RAD speciality is chosen to lead the developing process of the system. The structure of "Four-Base and Seven-System" of NSDSS is decided, based on which, the Function and Structure of Man-Machine Conversation system, General Management system, Data Base system, Model and Method Base system, knowledge base system, Causing and solving problems system are discussed. The basic theories and methods of each part are discussed. In the designing process of Model Base System, detailed analysis is given to the models of prediction, evaluation and management in the course of security decision. Moreover, basic process and method are discussed on question generation and solution. Then, detailed explanation is provided on the integration and implement of the system. After that, it is suggested that implement of the system should be carried through the process of the system.

论文首先对NSDSS涉及到的相关知识进行了讨论，详细分析了网络安全决策中的四个基本过程，这是NSDSS进行安全决策的基础；随后依据系统的目标和任务，对系统的开发策略和方法进行了分析，选择具有RAD能力的原型法指导整个系统的开发过程；确定了NSDSS"四库七系统"的整体结构；在此基础上，分别探讨了人机对话系统、通用管理系统、数据库系统、模型库和方法库系统、知识库系统、问题生成和求解系统的功能和结构，对各部件的基本原理和实现方法进行了论述；在模型库系统的设计过程中，对安全决策过程中运用到的安全预测、安全评估、安全管理等模型进行了详细的分析；仔细探讨了问题生成和求解的基本过程和方法；较为详细地阐述了系统集成和实施的有关问题，面向系统的成功实现，提出了将系统实施贯串于整个系统开发过程中的思想。

Secondly, the knowledge induced from experience, sample knowledge, model quantified knowledge are integrated organically in the field of ship design. The compound knowledge model is raised. A standardized modal system of compound knowledge in intelligent 3D-layout design of ship compartments is set up, by using object-oriented classify-decomposed relation and mixed knowledge expression of frames, regulars and methods. The intelligent support system of intelligent 3D optimal layout design of ship compartments is established based on compound knowledge base and inference engine.

其次，将船舶布置设计领域中经验归纳性知识、实例样本知识、模型数量化知识三者有机集成，提出了复合知识模型；结合舱室智能三维布置设计采用面向对象的知识分类分解关系及用框架、规则、方法的混合知识表达形式建立了一套复合知识规范化的形式描述体系，介绍了相应的推理机构造方法，提出了基于神经网络的舱室布置设计实例检索模型，并首次将其用于舱室布置设计实例的检索。

In this paper, searching technology of product information based on knowledge was researched. On the aspect of cognition, we researched the relation between user\'s cognition and designer\'s cognition, explored the knowledge flow in the process of product development, set up a matching model between user\'s knowledge and designer\'s knowledge, brought forward a modeling method based on users\' cognition, and set up a measurable model of product feature; coded and decoded product form element, set up a computer aided product form design system and image evaluating system based on the result of measurement. Accordingly, the product style and product image were systematically discussed, the recognition space of product style and image was constructed, the factors that affect product style and image were put forwards and analyzed, and the relation between product image and form elements was tested by experiments. Furthermore, the product automatic recognition technologies were discussed.And then, with the media of concept model and the kernel of parameter technology, a mathematic model that describing product layout design by constraints and rules was presented. Furthermore, a product design integration system based on imagery thinking including product fonii base system based on imagery thinking, product form design system based on imagery thinking and product form intelligent design system based on space layout were set up, which tested the system and provided a new way for product innovative design.

本文以产品特征描述目标对象——产品，研究一种基于知识的产品信息检索技术，在对产品的认知方面，研究了用户认知和设计师认知之间的关系，研究了产品开发过程中的知识流传递过程，建立了用户知识和设计知识之间的匹配模型，提出了一种基于用户知识的产品建模方法，它不但提取了产品的特征，还建立了产品特征量化模型，从而实现了产品知识的量化描述；对产品造型元素进行分解和编码，利用实验量化结果构造计算机辅助产品形状设计系统和心象评价系统；使用量表分析造型元素的心象尺度，构造输入、输出系统，建立了产品设计知识库咨询系统，可以方便用户和设计师来导入或查询产品设计方案；实现了对产品造型心象的分类知识库系统，便于设计师存储或查询，辅助设计师进行产品创新设计；通过实验量化了产品造型参数和产品心象参数之间的关系，并在此基础上建立了基于心象的产品形状设计系统，为产品空间布局方案智能生成系统奠定基础；在基于知识库的基础上建立了产品空间布局方案智能生成系统，通过更改概念产品造型参数，实现了产品设计方案的智能生成，使系列化的设计工作变得十分方便；将产品的心象运用到实际设计过程中，能够引导流行趋势，创造出产品无形的设计价值。

On the base of applied tech. and system structure, the key tech. are expressed in detail. It includes:Knowledge representation technology: it is described in two stages by "Depictive frame + Rule group"."Depictive frame" is used to reflect the factors concerning question field."Rule group" reflects the son-question in question field; knowledge management system: it is made up of knowledge-base editing component, factor classifying component, knowledge inspecting component and extractive knowledge component; uncertainty reasoning adopt method of elicitation search strategy and data drive controlled by member knowledge. It take reliability of compound proof at first. That can resolve the matching contradiction. Reasoning explanation introduce pre-text and followed method of resolving path. Knowledge discovery component take SLIQ as basic arithmetic. It provides classification model in two stage forms which aim at training suit. That is decision tree and productive rule.

在确定应用技术与系统结构的基础上，重点阐述了本文的核心技术，这包括：知识表示技术，采用"描述框架+规则组"的层次结构，"描述框架"用于描述问题域所涉及的因素，"规则组"反映问题域内的子问题；知识管理系统，由知识库编辑构件、因素分类构件、知识检测构件和知识求精构件组成；不确定性推理机采用启发式搜索策略，元知识控制的数据驱动，以复合证据可信度优先作为匹配冲突消解的策略，推理解释采用预置文本与求解路径追踪的方法；知识发现，采用SLIQ快速可伸缩算法，分类模型用判定树与产生式规则两种形式描述。

This work contributed essentially to optimal planning of refinery management. A strategy for solving the decision problem of short—term refinery planning is proposed, that is, to obtain the real time information of unit operations and environmental conditions by means of computer simulation, to dynamically configurate and modify the decision model depending on both simulation and expert reasoning, to make decision analysis and short—term production plan with the aid of expert simulation system. In this paper, a new approach cellad ESDSS was proposed by integrating DSS and expert simulation system . As a case study of ESDSS, a so called RESDSS was constructed, which is composed of seven subsystems, namely: data base subsystem, model base subsystem, method base subsystem, knowledge base subsystem, experiment base subsystem, human computer interaction subsystem, and expert simulation executing subsystem. The main results and contributions of this work are as follows:(1) A novel approach of DSS named ESDSS was proposed, which integrates DSS and ESS.

本文关于炼油生产专家仿真决策支持系统原型的研究从炼油企业优化生产管理的角度出发，以&利用仿真技术获取装置操作和环境条件的动态变化信息，依靠专家方法仿真实现决策模型的生成和修改，凭借专家仿真决策支持系统辅助高层领导者实施决策分析和制定短期生产计划&作为炼油生产短期计划决策问题的求解策略，在综合考虑决策支持系统（Decision Sup-port Systems，简称DSS）和专家仿真系统（Expert Simulation System，简称ESS）特点的同时把这两个系统结合在一起而提出&专家仿真决策支持系统（Ex-pert Simulation Decision Support System，简称ESDSS）&这一新的构思。

On the base of applied tech. and system structure, the key tech. are expressed in detail. It includes:Knowledge representation technology: it is described in two stages by "Depictive frame + Rule group"."Depictive frame" is used to reflect the factors concerning question field."Rule group" reflects the son-question in question field; knowledge management system: it is made up of knowledge-base editing component, factor classifying component, knowledge inspecting component and extractive knowledge component; uncertainty reasoning adopt method of elicitation search strategy and data drive controlled by member knowledge. It take reliability of compound proof at first. That can resolve the matching contradiction. Reasoning explanation introduce pre-text and followed method of resolving path. Knowledge discovery component take SLIQ as basic arithmetic. It provides classification model in two stage forms which aim at training suit. That is decision tree and productive rule.

在确定应用技术与系统结构的基础上，重点阐述了本文的核心技术，这包括：知识表示技术，采用&描述框架+规则组&的层次结构，&描述框架&用于描述问题域所涉及的因素，&规则组&反映问题域内的子问题；知识管理系统，由知识库编辑构件、因素分类构件、知识检测构件和知识求精构件组成；不确定性推理机采用启发式搜索策略，元知识控制的数据驱动，以复合证据可信度优先作为匹配冲突消解的策略，推理解释采用预置文本与求解路径追踪的方法；知识发现，采用SLIQ快速可伸缩算法，分类模型用判定树与产生式规则两种形式描述。

A knowledge base model based on the combination of the reduced fault tree and the LCU trapezia logic structure is designed after a thorough research on the knowledge base system and the reasoning mechanism of the locomotive fault diagnosis system.

通过对机车故障诊断系统知识库体系和故障诊断推理机制的研究，设计了以简化的电力机车故障树为基础，结合LCU梯形图逻辑构造的知识库原型；应用机车故障诊断双向推理机制，设计并实现了基于LCU处理逻辑的正向推理机以及基于故障树查询的逆向推理机；并以此为基础开发了电力机车远程故障诊断系统的原型，实现了对机车的远程故障诊断。

Knowledge base, model base, arithmetic base and inference engine for explosion disaster prevention and emergency succour are built. Design and development idea for decision support system based on object-oriented idea are offered. Design of structure and main function modules of DSS for disaster prevention are given. Distributing DSS for disaster prevention and simulation of disaster in chemical process is realized by system integration of diagnosis module for accident mode, neural network module, disaster simulation and evaluation module, knowledge base and its management system、database and its management system, module base and its management system, support environment for software system, network and hardware.

提出了基于面向对象思想的决策支持系统设计与开发思路与策略，给出了防灾决策支持系统的结构设计以及数据库及管理系统、模型库及管理系统、知识库及推理机等主要功能模块的设计方法，并对事故模式诊断模块、神经网络模型、灾害模拟与评价模块、灾害救援预案模块、决策支持四库系统，以及软件系统支撑环境、通讯网络与硬件等进行了系统集成，实现了两层结构的分布式化工过程爆炸灾害模拟与评价及防灾决策支持系统软件系统。

Knowledge base, model base, arithmetic base and inference engine for explosion disaster prevention and emergency succour are built. Design and development idea for decision support system based on object-oriented idea are offered. Design of structure and main function modules of DSS for disaster prevention are given. Distributing DSS for disaster prevention and simulation of disaster in chemical process is realized by system integration of diagnosis module for accident mode, neural network module, disastersimulation and evaluation module, knowledge base and its management system、database and its management system, module base and its management system, support environment for software system, network and hardware.

提出了基于面向对象思想的决策支持系统设计与开发思路与策略，给出了防灾决策支持系统的结构设计以及数据库及管理系统、模型库及管理系统、知识库及推理机等主要功能模块的设计方法，并对事故模式诊断模块、神经网络模型、灾害模拟与评价模块、灾害救援预案模块、决策支持四库系统，以及软件系统支撑环境、通讯网络与硬件等进行了系统集成，实现了两层结构的分布式化工过程爆炸灾害模拟与评价及防灾决策支持系统软件系统。

Knowledge base, model base, arithmetic base and inference engine for explosion disaster prevention and emergency succour are built. Design and development idea for decision support system based on object-oriented idea are offered. Design of structure and main function modules of DSS for disaster prevention are given. Distributing DSS for disaster prevention and simulation of disaster in chemical process is realized by system integration of diagnosis module for accident mode, neural network module, disaster simulation and evaluation module, knowledge base and its management system、database and its management system, module base and its management system, support environment for software system, network and hardware.

提出了基于面向对象思想的决策支持系统设计与开发思路与策略，给出了防灾决策支持系统的结构设计以及数据库及管理系统、模型库及管理系统、知识库及推理机等主要功能模块的设计方法，并对事故模式诊断模块、神经网络模型、灾害模拟与评价模块、灾害救援预案模块、决策支持四库系统，以及软件系统支撑环境、通讯网络与硬件等进行了系统集成，实现了两层结构的分布式化工过程*灾害模拟与评价及防灾决策支持系统软件系统。

As she looked at Warrington's manly face, and dark, melancholy eyes, she had settled in her mind that he must have been the victim of an unhappy attachment.

每逢看到沃林顿那刚毅的脸，那乌黑、忧郁的眼睛，她便会相信，他一定作过不幸的爱情的受害者。

Maybe they'll disappear into a pothole.

也许他们将在壶穴里消失