自适应仿真器可视化组件选择算法。

M. Krasnyanskiy, A. Obukhov, D. Dedov, A. Siukhin, A. Arkhipov
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引用次数: 2

摘要

提出了一种自适应仿真器可视化组件的选择算法。开发了可视化组件分组和排序的分类系统。该算法可以形式化开发仿真器的技术系统的主要对象,将其与可视化组件关联起来,并根据集成时间、组件可视化的利用价值和质量、培训周期和培训质量、最优解五个标准对可视化组件进行评估和分类。该算法为煤矿行业自适应仿真系统的开发奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithm for Selecting Visualization Components for Adaptive Simulators.
The paper presents an algorithm for selecting visualization components for adaptive simulators. Classification system for grouping and ranking visualization components has been developed. The algorithm allows to formalize the main objects of the technical system, for which the simulator is developed, correlate them with visualization components, evaluate and classify visualization components according to five criteria: integration time, utilization value and quality of component visualization, training period and quality of training, optimal solutions. The algorithm has formed the basis for the development of an adaptive simulator for the coal mining industry.
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