Finally , this dissertation implements the simulation algorithms of qualitative compositional modeling 最后,本文实现了定性组合建模中的仿真算法。
In this paper , i study the characteristics and modeling process of qualitative simulation , propose the conception of qualitative compositional modeling and realize the corresponding algorithms 在对定性仿真理论和定性建模过程研究的基础上,本文提出定性组合建模的思想,实现了相关的建模和仿真算法。
Thus , i build the framework of qualitative compositional modeling , which includes both modeling and simulation processes , and accomplish two kinds of simulation algorithm : one is the pure qualitative simulation algorithms ( qsim ) and the other is fuzzy qualitative simulation ( fqsim ) 为此,本文建立了组合建模与仿真的框架体系,并实现了两类仿真算法? ?改进定性仿真算法和模糊定性仿真算法。
Due to the incompleteness of model library and uncertainty of modeling knowledge , qualitative compositional modeling is a process of " generate and test " during which the composed model must be modified and improved . there are two separate sub - tasks about cm , model composition and model simulation , which communicate with each other through qualitative differential equations ( qde ) 定性模型的特点,决定了定性组合建模是一个需要重复调整和完善的迭代过程,建模与仿真是通过定性微分方程相关联的两个子任务,建模是仿真的基础,仿真是对建模结果的检验。
From the viewpoint of novel mechanism for model knowledge description , i develop an object - oriented compositional modeling frame ; base on controlling information during modeling , 1 present the relevance - assumption - based algorithms . as to model evaluation , 1 consider qualitative simulation a co - related step as well as model composition during entire qualitative compositional modeling , and implement two simulation algorithms 从知识描述的角度,提出面向对象的组合建模方法;从建模过程的角度,提出基于模型假设的关联推理算法;从模型检验的角度,将模型的组合与仿真看作是整个定性组合建模体系的两个紧密联系的环节,并实现了相应的定性仿真算法。