Functional Structure Modeling Based on Fuzzy Inference

被引:0
作者
Yin, Yingying [1 ]
Li, Jinying [2 ]
机构
[1] Jilin Agr Univ, Teaching & Management Ctr Informat, Changchun 130118, Peoples R China
[2] Jilin Agr Univ, Gardening Coll, Changchun 130118, Peoples R China
来源
MATERIAL SCIENCE, CIVIL ENGINEERING AND ARCHITECTURE SCIENCE, MECHANICAL ENGINEERING AND MANUFACTURING TECHNOLOGY II | 2014年 / 651-653卷
关键词
functional structure model; virtual plant; fuzzy inference;
D O I
10.4028/www.scientific.net/AMM.651-653.2310
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A method that use fuzzy inference theory to infer the functional structure model is presented. Is based on fuzzy inference theory of artificial intelligence area, analyze and study the measured data, then extract plant growth rule and growth function. When constructing functional structure that can reflect the impact of the environment, the influence of environment was taken into full account. The source and sink organs respond the surrounding virtual environment according to its inbuilt growth function, and produce, allocate and consume assimilates as well as update the L-grammar representing the plant structure, and at last produce the plant that adapt to present virtual environment. The simulation test result show that the model can accurately extract the growth rule, construct right growth function, and vividly reflect the impact of environment.
引用
收藏
页码:2310 / +
页数:2
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