飞机故障诊断专家系统的软件实现

首先提出了开发飞机故障诊断专家系统的必要性 ,并简要说明了笔者所研制的软件的知识基础和设计与实现方法 ;介绍了基于事例的推理 (Case BasedReasoning ,CBR)的优越性 ,重点说明了该软件中事例的来源和事例库的构造 ;并详细介绍了自组织特征映射网络 (SelfOrganizingMap,SOM) ,以及其在该软件中的实现算法和程序结构简图 ;最后分析了该软件广泛的应用前景。     

An On-Line Multi-CBR Agent Dispatching Algorithm

Case-based reasoning (CBR) is an effective and fast problem-solving methodology, which solves new problems by remembering and adaptation of past cases. With the increasing requests for useful references for all kinds of problems and from different locations, keeping a single CBR system seems to be outdated and not practical. Multi-CBR agents located in different places are of great support to fast meet these requests. In this paper, the architecture of a multi-CBR agent system is proposed, where each CBR agent locates at different places, and is assumed to have the same ability to deal with new problem independently. When requests in a request queue are coming one by one from different places, we propose a new policy of agent dispatching to satisfy the request queue. Throughout the paper, we assume that the system must solve the coming request by considering only past requests. In this context, the performance of traditional greedy algorithms is not satisfactory. We apply a new but simple approach – competitive algorithm for on-line problem (called ODAL) to determine the dispatching policy to keep comparative low cost. The corresponding on-line dispatching algorithm is proposed and the competitive ratio is given. Based on the competitive algorithm, the dispatching of multi-CBR agents is optimized.     

PKTS view:一种多媒体数据库视图

在多媒体数据库管理系统中采用视图技术是一个新的课题。文章分析了逻辑视图和实视图在应用于MMDBMS时的不足,给出了一个多媒体数据库视图的时间成本和空间成本模型,并基于这些分析,提出了一种新的视图模式,较好地解决了该类应用中时间成本与空间成本的矛盾。     

低液限粉土的压实性能研究

结合子洲至靖边高速公路4个合同段的低液限粉土,采用试验和理论分析的方法,对该地区广泛存在的低液限粉土的压实性能进行了系统研究.首先,对该地区的低液限粉土进行了物理、力学性质试验,取得了基本的研究参数.其次,研究了低液限粉土的静力压实的机理和影响因素;基于长期稳定性的考虑,测定分析了CBR值,提出了考虑CBR值的低液限粉土的压实标准.     

基于案例的移动自组织网络安全管理体系结构

提出了一种基于案例的移动自组织网络安全管理体系结构，以基于案例推理技术（CBR）为例介绍了安全策略决策支持系统以及案例库的构建技术。     

基于环境感知的应急管理知识需求研究

在突发公共事件的应急管理中,有效提升环境感知能力,并及时准确寻求专家知识应对是应急系统知识管理机制的重要课题。通过环境感知获取应急事件的构成因素和过程要素,分析应急处置的历史信息进而发现具有相同历史行为或语境的应急预案或案例,并设计基于案例推理的知识检索方法,以提升突发事件的应急决策能力。     

A Case‐Based Reasoning system for complex medical diagnosis

A Case‐Based Reasoning (CBR) system for medical diagnosis mimics the way doctors make a diagnosis. Given a new case, its accuracy in practice depends on successful retrieval of similar cases. CBR systems have had some success in dealing with simple diseases because of the robustness of their case base. However, their diagnostic accuracy suffers when dealing with complex diseases particularly those that involve multiple domains in medicine. An example of such a condition is Premenstrual syndrome (PMS) as it falls under both gynaecology and psychiatry. To address this issue, the paper proposes a CBR‐based expert system that uses the K‐nearest neighbour (KNN) algorithm to search k similar cases based on the Euclidean distance measure. The novelty of the system is in the design of a flexible auto‐set tolerance (T), which serves as a threshold to extract cases for which similarities are greater than the assigned value of T. A prototype software tool with a menu‐driven Graphical User Interface (GUI) has been developed for case input, analysis of results, and case adaptation within the system. Finally, the performance of the tool has been checked on a set of real‐world PMS cases.     

新品上市的CBR动态预测

针对新品上市数据匮乏、不确定性高所带来的预测难点,提出了关于案例推理和改进粒子群神经网络的动态预测方法.首先考虑产品属性及销售序列特征,提出两阶段综合聚类算法划分案例集合;其次采用核心案例的相似性搜索机制确定RBF神经网络模型的训练集,并通过动态聚类和改进的粒子群算法进行网络训练及参数优化;最后采用相异距离的聚类方法保留预测结果,实现模型的动态扩展.企业实例及公共数据集的仿真结果表明,CBR-IPRBF动态预测方法能够适用于任何类型新品上市的销量预测,且对于数据量不足等非理想状况具有较优的性能.模型预测精度高,算法扩展性强,具有广泛适用性,能够为企业提供实际、有效的决策支持.     

基于ANN 及CBR 的产品需求映射实现方法

针对基于实例推理的产品需求映射实现过程中,指标权重设定的随机性及主观性导致无关的噪音特征影响结论的准确性等状况,提出了基于神经网络的CBR权值学习方法（即通过特征灵敏度、活跃度、凸度、相关度进行权值定义）,以及输入特征的转换机制,在此基础上给出了基于CBR的产品需求映射过程模型,并将上述模型在移动工作台需求映射实现中进行了应用,系统实现表明了提出方法的有效性,为产品需求映射提供了一种新的有效实现途径。     

基于CBR的工程项目承包商选择问题的研究

传统的招标系统注重评价指标的指标值的比较,缺乏经验和隐性知识的支持;而采用专家打分的评标系统又无法规避歧视存在。应用案例知识启发联想功能,从工程项目承包商选择全过程出发,利用CBR理论、项目管理理论、招标理论、聚类理论等,讨论了招标选定承包商流程,承包商选择决策支持系统的框架结构及实现技术,提高了招标决策的科学化和智能化。