轨道控制传感器研究与诊断的数学模型与算法,建立专家系统

Komoliddin Tashmetov, M. Aliev, R. Aliev
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引用次数: 0

摘要

本文论述了人工智能在铁路运输中的发展及其应用领域。研究了自动化和远程机械的一个组成部分——带电流采集的无缝轨道电路,并基于知识库功能创建了专家系统。建立了一个数学模型来确定带电流拾取的无缝轨道电路的一种工作模式。开发了仿真模型,研究了与知识存储、语义、框架和形式逻辑相关的应用人工智能的方法。算法和程序已经开发出来用于创建这些模型的专家系统,以及它们的优点和缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical model and algorithms for research and diagnostics of the track control sensor to create an expert system
The article discusses the development of artificial intelligence in railway transport and its areas of application. One of the elements of automation and telemechanic, jointless rail circuits with current pickup, was investigated and, based on the knowledge base function, was used to create expert systems. A mathematical model has been developed to determine one of the operating modes of a jointless rail circuit with current pickup. A simulation model has been developed, a methodology for applying artificial intelligence has been investigated in relation to the storage of knowledge, semantics, frames and formal logic. Algorithms and programs have been developed for the creation of expert systems for these models, as well as their advantages and disadvantages.
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