• DocumentCode
    2800387
  • Title

    Differential equation and cellular automata model

  • Author

    Ruan, Xinbo

  • Volume
    2
  • fYear
    2003
  • fDate
    8-13 Oct. 2003
  • Firstpage
    1047
  • Abstract
    Cellular automata offered a promising modeling approach to simulate many complex systems. But researchers difficultly design suitable rules for models about real phenomena. And there is rich applied knowledge of differential equations in different fields. Researchers may model complex systems according to this knowledge from differential equations. This paper firstly survey correlative concepts about cellular automata and differential equations, and introduces general approach to design cellular automaton. According to tumor growth of Gompertz continuum differential equation, this article briefly discusses relations between cellular automata and differential equations, and builds a simple cellular automaton according to differential equations. At last this paper analyzes the results from mathematical viewpoint.
  • Keywords
    biology computing; cellular automata; differential equations; large-scale systems; tumours; Gompertz continuum differential equations; biology computing; cellular automata model; complex systems; tumor growth; Automata; Biological system modeling; Concurrent computing; Control engineering; Differential equations; Extraterrestrial phenomena; Fluid flow; Mathematical model; Neoplasms; Physics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
  • Print_ISBN
    0-7803-7925-X
  • Type

    conf

  • DOI
    10.1109/RISSP.2003.1285734
  • Filename
    1285734