排序方式: 共有16条查询结果,搜索用时 15 毫秒
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无线闭塞中心(RBC)系统结构、功能复杂,维护过程中积累了大量的现场诊断案例。为了有效利用历史诊断经验,将人工智能CBR(Case-Based Reasoning)技术引入到无线闭塞中心的故障诊断中,分析基于CBR的RBC故障诊断流程,运用面向对象的方法对RBC故障案例进行了表示,提出基于R-S(Rough Set)理论的案例特征属性权重计算方法,采用融合最近邻和余弦函数的相似度算法改进了传统案例推理技术的相似度算法。最后以RBC维护终端的具体案例验证提出方法的有效性。 相似文献
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Transportation research relies heavily on a variety of data. From sensors to surveys, data supports day-to-day operations as well as long-term planning and decision-making. The challenges that arise due to the volume and variety of data that are found in transportation research can be effectively addressed by ontologies. This opportunity has already been recognized – there are a number of existing transportation ontologies, however the relationship between them is unclear. The goal of this work is to provide an overview of the opportunities for ontologies in transportation research and operation, and to present a survey of existing transportation ontologies to serve two purposes: (1) to provide a resource for the transportation research community to aid in understanding (and potentially selecting between) existing transportation ontologies; and (2) to identify future work for the development of transportation ontologies, by identifying areas that may be lacking. 相似文献
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Significant efforts have been made in modeling a travel time distribution and establishing measures of travel time reliability (TTR). However, the literature on evaluating the factors affecting TTR is not well established. Accordingly, this paper presents an empirical analysis to determine potential factors that are associated with TTR. This study mainly applies the Bayesian Networks model to assess the probabilistic association between road geometry, traffic data, and TTR. The results from this model reveal that land use characteristics, intersection factors, and posted speed limits are directly associated with TTR. Evaluating the strength of the association between TTR and the directly related variables, the log odds ratio analysis indicates that the land use factor has the highest impact (0.83) followed by the intersection factor (0.57). The findings from this study can provide valuable resources to planners and traffic operators in their decision-making to improve TTR with quantitative evidence. 相似文献
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讨论人工智能技术的分类,分析模糊逻辑、神经网络(模糊神经网络)、专家系统、主体(A-gent)和基于案例推理(CBR)技术等各种人工智能技术在避碰领域的研究现状,展望了人工智能技术在避碰领域的发展前景. 相似文献
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将人工神经网络和基于案例的推理技术相结合,应用于车辆故障诊断系统中,建立了应急故障诊断模型;基于此模型,研究了车辆维修案例的表示方法并设计了CB神经网络的学习规则,通过系统的仿真训练和仿真诊断,该模型有效地提高了故障诊断的效能,满足车辆应急故障诊断的需求。 相似文献
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Son Nguyen 《Maritime Policy and Management》2020,47(6):778-796
ABSTRACT The substantial adverse effects of risk factors on container shipping and logistics promoted a deep integration of risk analysis into the decision-making process. This paper aims to develop a well-grounded quantitative model to operational risk in a container shipping context. Considering uncertainty as a primary component of the risk concept, methods were employed in an inter-complementary manner to enable not only a sense of foreseeability but also a deeper look into the weaknesses of the knowledge base. The intersubjectivity of the input extraction process was supported by the Evidential Reasoning (ER) algorithm. Risks are then assessed based on a Fuzzy Rules Bayesian Network (FRBN) model with a 2-level parameter structure before meaningful interpretations can be derived through a new risk mapping approach. Besides an illustrative case study, the model was tested by sensitivity analysis and an examination of multiple validity claims. 相似文献
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智能冲模CAD系统中的CBD方法研究 总被引:3,自引:1,他引:2
介绍了实例推理方法(CBR)的一般原理,通过对比冲模设计过程和CBR方法,说明了基于实例的设计(CBD)方法用于智能冲模CAD系统的合理性,并研究了其中的关键技术。 相似文献
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H. J. Kim C. H. Bae S. H. Kim H. Y. Lee K. J. Park M. W. Suh 《International Journal of Automotive Technology》2009,10(1):123-129
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. 相似文献
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