knowledge base - 网络例句 - 英语人，englisher

This article is main to proceed the research to the consistency problem of knowledge base inside knowledge, and realizes a program which can examine the consistency of knowledge base with knowledge.

本文主要对知识库中知识的1致性问题进行研究，并实现1个能检测知识库中知识的1致性的程序。

In view of dual base cooperate principle in Knowledge Engineering, the common pattern and method of information mining in IDSS has been obtained which realize data mining and text mining and extend the source of knowledge for the knowledge base.

面向决策分析和知识获取的需要，基于数据仓库的基本思想，提出了决策支持数据库数据组织方法和体系框架，为提高智能决策支持系统的运行效率提供了基本保证。

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 dissertation studies the knowledge base of the vibration fault diagnostic system for turbogenerator unit and discusses the diagnostic model, knowledge representation, knowledge base structure, knowledge acquisition, knowledge management and vertification, and so on.

本文对汽轮发电机组振动故障诊断系统的知识库进行了研究，对诊断模型选择、知识表示、知识库体系结构与知识管理维护等方面的内容进行了探讨。

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。

By analyzing the structure of process knowledge in deep drawing, a new featurebased hierarchical object model of knowledge for deep-drawing process is proposed, which constructs the knowledge base well, and so enables the mapping from forming feature to knowledge base.

通过对拉深工艺知识的结构分析，提出了基于特征的拉深工艺知识的层次对象模型，解决了工艺知识库中知识结构的编排和知识存储、管理，使得由成形特征向知识库的映射成为可能。

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。

The four models were analyzed and normalized. We studied the procedure and method of building forest fire model base. Model base was build by object-oriented method based on category of model. Forest fire spreading models algorithm were implemented. We designed model dictionary base, model file base, and model knowledge base. Model base administration and maintenance functions were developed and implemented model file management, parameter management and knowledge management. The problems of interface between of model base and database were solved by means of model data control files. Model base ensured the availability of supporting for forest fire model suitability selection technology and forest fire model self-adapting updating technology.(3) Based on BP artificial neural network, we designed a frame construction of forest fire model selection of suitability. Forest fire model selection knowledge was produced through BP artificial neural network.

2建立了林火模型库建设的林火蔓延模型评价标准，根据模型评价标准和试验区实际情况，在42个林火蔓延模型中选择了目前最具有影响力和最具有典型代表性的Rothermel模型、王正非模型、加拿大模型和澳大利亚模型进行了解析和归一化处理；对林火模型库的建库过程和方法进行了研究，在林火模型分类基础上，采用面向对象的模型库表示方法建立了林火模型库；实现了林火蔓延模型算法，设计了模型字典库、模型文件库和模型知识库；开发了模型库管理与维护功能，实现了模型的文件管理、参数管理和知识管理；通过模型数据管理文件解决了模型库与数据库之间接口问题；实现了林火模型库对林火模型适宜性选择和林火模型自适应修正技术的有效支持。

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