Нашли опечатку? Выделите ее мышкой и нажмите Ctrl+Enter
Название: Intelligent Simulation Tools for Mining Large Scientific Data Sets
Авторы: Zhao F., Bailey-Kellogg C., Huang X.
This paper describes problems, challenges, and opportunities for intelligent simulation of physical systems. Prototype intelligent simulation tools have been constructed for interpreting massive data sets from physical fields and for designing engineering systems. We identify the characteristics of intelligent simulation and describe several concrete application examples. These applications, which include weather data interpretation, distributed control optimization, and spatio-temporal diffusion-reaction pattern analysis, demonstrate that intelligent simulation tools are indispensable for the rapid prototyping of application programs in many challenging scientific and engineering domains.