摘要
实现了一个探索性分析框架原型系统EAF,使得问题的分析与相关模型独立开来,因而更具柔性。探索性分析框架是由初始输入,问题探索求解控制,输出数据综合分析等三个模块组成。其中初始输入模块主要完成分析问题背景的初始化设置,探索空间的确定,分析决策目标的确定等等功能。问题探索求解控制模块主要完成基于静态或动态优化控制机制,控制探索过程,以减少探索空间规模的工作。输出数据的综合分析模块完成收集探索计算的结果,综合分析数据,为分析人员提供决策支持,并辅助生成分析报告。
An EA framework： EAF is presented. Being independent of the selected model, it makes the problem solved more flexiblebly. The EA framework is composed of 3 modules. The first is input modular. It inputs the initiative data and information such as context of problem, exploratory space decision objective etc. The second is control modular which controls exploratory process by static or dynamic mechanics to diminish the exploratory space. The third modular performs synthetic analysis. It collects the results got from the model calculation at first. Then, several analysis methods, such as neural network, variance analysis, OLAP, data mining and so on, are applied to decision support. At last, a tool is designed to aid analyzers to accomplish problem analysis report.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2005年第11期2793-2795,2800,共4页
Journal of System Simulation
基金
国家863高技术计划(2004AA115120)
国家自然科学基金(70401003)
