分类模型系统中基于归纳推理的大规模基础设施对象状态监测的信息系统分析与设计智能技术

S. Susarev, N. Gubanov, E. Melnikov
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引用次数: 0

摘要

本文讨论了分类模型系统中用于监测大型基础设施对象状态的信息系统分析与设计的开发问题。在分类方法、计算模型理论和知识表示生成系统的基础上,描述了多层次知识表示的形式装置,包括参数层次、结构层次和语义层次的范畴。建立了多层次分析、知识处理和知识库形成方法,特别是信息网络的多层次形式化表示、识别和碎片合成方法。这些方法是基于多级归纳推理算法的组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Information systems analysis and design intelligent techniques for monitoring of the inductive inference based large-scale infrastructural objects status in categorical models systems
Development problems of the information systems analysis and design for monitoring the status of large-scale infrastructural objects in the categorical models systems have been considered at this article. The formal apparatus of a multilevel knowledge representation on the basis of the categorical approach, the theory of computational models, knowledge representation production systems was described including categories of parametric, structural and semantic levels. The multilevel analysis, knowledge processing and forming of knowledge bases methods, in particular, the methods for a multilevel formal representation, recognition and fragments synthesis of the information network were established. These methods are based on a combination of multi-level inductive inference algorithms.
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