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基于模糊推理L-系统的植物生长模拟研究 被引量:1

Study on L-system based on fuzzy reasoning for the simulation of the virtual plant growth
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摘要 L-系统应用于模拟植物生长时,难以从植物学知识归纳、抽象出有关植物生长的语言式描述规则,提出了基于语言描述的模糊推理方法来建立产生式规则的构造方法.介绍了从对植物生长的语言描述出发构造相应的模糊集合,进行模糊推理构造出L-系统产生式的方法.给出了主要的产生式规则和编程实现的模拟结果,仿真结果符合现实植物营养生长的“慢—快—慢”的基本生长规律,表明基于模糊推理的L-系统方法模拟植物的生长过程是可行的,避免复杂的植物生长机理建模. Because it is difficult to build up the production rules based on language description of plant growth by the utilization of conventional L-system, a new construction method of L-system is proposed, in which fuzzy reasoning applied to build up the production rules. The method to construct related fuzzy sets from the language description of plant growth, and then the L-system production rules by fuzzy reasoning are introduced. The key production rules and simulation results achieved by programming are presented. The simulation results agree well with the rule of plant growth, slow-fast-slow, which shows that the method can simulate the plant growth with no necessity of complex physical modeling.
出处 《浙江工业大学学报》 CAS 2006年第3期314-318,共5页 Journal of Zhejiang University of Technology
基金 浙江省科技厅重大科研资助项目(200414003)
关键词 植物生长 L-系统 模糊推理 产生式规则 plant growth L-system fuzzy reasoning production rules
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  • 1MARIA L E,FREDERIC B,FRANCK A,et al.Modeling maize canopy 3D architecture application to reflectance simulation[J].Ecological Modelling,1999,122(1-2):25-43.
  • 2MARTIN F,HENRIK W J,PRZEMYSLAW P.modeling hairy plants[C]//In Proceedings of Pacific Graphics.Korea:Seoul,2004:217-226.
  • 3MICHAEL C,BRUNO A.The nested radiosity model for the distribution of light within plant canopies[J].Ecological Modelling,1998,111(1):75-91.
  • 4耿瑞平,涂序彦.虚拟植物枝条生长与形态生成模型研究[J].计算机工程与应用,2004,40(23):4-5. 被引量:7
  • 5PRZEMYSLAW P.Art and science for life:designing and growing virtual plants with L-systems[J].Acta Horticulturae,2004,630:15-28.
  • 6胡包钢,赵星,严红平,de Reffye Ph,Blaise F,熊范纶,王一鸣.植物生长建模与可视化——回顾与展望[J].自动化学报,2001,27(6):816-835. 被引量:142
  • 7刘宏兵,熊盛武.基于模糊推理的贴近度决策方法及应用[J].计算机应用与软件,2004,21(11):6-7. 被引量:9
  • 8PRZEMYSLAW P,MARK H,JIM H,et al.L-System:from the theory to visual models of plants[C]//MICHALEWICZ.M T Proceedings of the 2nd CSIRO Symposium on Computational Challenges in Life Sciences.Australia:CSIRO Publishing,1996:23-15.

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