汽车方案设计智能决策支持系统

从汽车整体设计的需要出发,分析了汽车总体方案设计的特点。介绍了一种智能化方案设计推理决策系统,该系统是在一个面向对象的数据库管理系统基础上开发的。在ACDIDSS中,问题求解主要采用基于实例的推理,辅之以基于规则的推理模式。论述了ACDIDSS系统的设计思想和各个主要模块的功能,并重点介绍了实例推进器的设计与实现。     

基于序列近似优化方法的水下航行器水动力外形优化设计

为了解决复杂工程优化问题中计算效率与代理模型精度之间的矛盾,本文基于最大最小距离准则和最小化代理模型预测准则提出一种多点加点准则,构建改进序列近似优化方法的算法流程.以二维Rosenbrock函数和Golinski减速器优化问题为例,与传统方法相比,改进方法得到的全局最优解精度更高,所需构造样本更小.将该方法应用到某型...     

基于模糊专家系统的雷达干扰资源分配模型

在对目标信息进行综合利用的基础上,针对现代海战特点,建立了基于模糊专家系统的雷达干扰资源分配模型,详细地阐述了舰艇雷达干扰系统的知识表示和知识库构建方法,简要介绍了推理策略,充分利用专家经验,体现了定性分析与定量计算的特点。该研究对未来海战中干扰资源的分配决策具有一定的指导意义。     

基于BP神经网络的故障诊断技术在装备维修中的应用

传统故障诊断方法在装备保障中的诸多局限性。文章介绍了基于BP模型的神经网络,研究了基于BP模型神经网络的故障诊断推理方法,并利用Matlab仿真软件对结果进行了运行和计算。结果证明,基于BP神经网络的故障诊断技术对装备故障诊断是行之有效的。     

A Comparative Study of Three Machine Learning Methods for Software Fault Prediction

The contribution of this paper is comparing three popular machine learning methods for software fault prediction. They are classification tree, neural network and case-based reasoning. First, three different classifiers are built based on these three different approaches. Second, the three different classifiers utilize the same product metrics as predictor variables to identify the fault-prone components. Third, the predicting results are compared on two aspects, how good prediction capabilities these models are, and how the models support understanding a process represented by the data.     

桥梁智能CAD系统中的类比技术研究

首先分析了工程设计的实现,然后以工程设计过程的理论模型－规划控制下的二阶段设计模型为理论依据,讨论了桥梁数据结构的设计方法,并制定了相应的类比推理模型。     

基于本体的语义推理研究

语义Web作为新一代Web正倍受关注,而Web的资源描述语言RDF、RDF的词汇描述RDF Schema,以及最新的本体语言OWL等已成为现今语义Web上的规范语言.文中概述了本体语言和描述逻辑及它们之间的关系,并通过一个实例显示了一个本体文件中传递闭包的推理路径.     

三维方位关系的定性描述与定性推理

结合定性推理、空间推理与人工智能产生的定性空间推理,已成为人工智能的1个研究热点,是空间关系的重要组成部分,为空间方位关系空间分析、辅助决策等提供了基础。因此,空间方位关系的形式化描述与定性推理非常重要。本文用单纯形数据模型描述三维空间实体,通过研究单纯形间的方向关系研究空间实体间的方向关系。提出采用三元组描述了两空间对象间的三维方位关系,并对该描述方法的定性推理作了详细研究。三维方位关系分为单方位关系与多方位关系,重点研究了单方位关系定性推理,在此基础上分析了多方位关系定性推理与单方位关系定性推理方法的联系,将多方位关系定性推理转化为对多个单方位关系定性的推理。     

Development of a knowledge-based hybrid failure diagnosis system for urban transit

Urban transit is a complex system that contains both electrical and mechanical entities; therefore, it is necessary to construct a maintenance system for ensuring safety during high-speed driving. Expert systems are computer programs that use numerical or non-numerical domain-specific knowledge to solve problems. This research aims to develop an expert system that diagnoses the causes of failures quickly and displays measures to correct them. For the development of this expert system, the standardization of a failure code classification and the creation of a Bill of Materials (BOM) were first performed. Through the analysis of both failure history and maintenance manuals, a knowledge base has been constructed. Also, for retrieving the procedure of failure diagnosis and repair linking with the knowledge base, we have built a Rule-Based Reasoning (RRB) engine with a pattern matching technique and a Case-Based Reasoning (CBR) engine with a similar search method. Finally, this system has been developed as web based in order to maximize accessibility.     

CASE STORAGE BASED ON RELATIONAL DATABASE

IntroductionCase- Based Reasoning ( CBR) ,as a relativelynew methodology,has attracted wide concern ofAI researchers since1 980 's.The number of suc-cessful applications of CBR is growing rapidly,especially in the fields of architecture and indus-try,e.g. ARCHI- II[1] for the architecture designof courthouse and MIDAS[2 ] for the conceptualdesign of aircraft.The currently prevailing CBD systems mostlytreat cases as instances of some predeterminedand static case template.Such an appro…