以R语言为基础的改进QSIM算法实现
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  • 英文篇名:Improved QSIM Algorithm Based On R Language
  • 作者:赵逸蕊 ; 唐胜利
  • 英文作者:ZHAO Yi-rui;TANG Sheng-li;School of Energy and Power Engineering of Chongqing;
  • 关键词:定性仿真 ; QSIM算法 ; R语言 ; 程序
  • 英文关键词:Qualitative simulation;;QSIM algorithm;;R language;;Program
  • 中文刊名:XXHG
  • 英文刊名:The Journal of New Industrialization
  • 机构:重庆大学能源与动力工程学院;
  • 出版日期:2019-04-20
  • 出版单位:新型工业化
  • 年:2019
  • 期:v.9;No.100
  • 语种:中文;
  • 页:XXHG201904016
  • 页数:5
  • CN:04
  • ISSN:11-5947/TB
  • 分类号:82-86
摘要
在定性仿真理论中QSIM理论逻辑清晰简单且适用范围较广,能够根据系统的初始状态推导出可能的后续行为状态。本文将QSIM算法进行了初步改进,结合R语言开发了一个定性仿真程序系统,推导定性行为且构建状态树图形,并提供了一个实例来验证该程序系统。
        QSIM algorithm, one of qualitative simulation, has simple logic and can be widely applicable which can deduce the possible subsequent behavior state according to the initial state of the system. QSIM algorithm is preliminarily improved in this paper by combining with R language. Qualitative behaviors are derived and state tree graphs are constructed. Besides, an example is provided to verify this program system.
引文
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