文献类型：会议论文

英文题名：Tree growth simulation method based on improved IFS algorithm

作者：Zhang, Huaiqing[1] Liu, Min[1]

第一作者：张怀清

通信作者：Zhang, H.|[a0005bc6c2ff22e7263a4]张寰;

机构：[1] Research Institute of Resource Information Techniques, Chinese Academy of Forestry [CAF], Beijing, China

会议论文集：Proceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009

会议日期：December 11, 2009 - December 13, 2009

会议地点：Wuhan, China

语种：英文

外文关键词：Artificial intelligence - Forestry - Fractals - Software engineering - Trees (mathematics)

年份：2009

摘要：Objective: With poplar as the research object, tree simulation algorithm and simulation method combined with tree growth were investigated. Methods: with Iteration Function System (IFS) algorithm to perform single-plant simulation, a modified IFS iterative algorithm was proposed. The new method overcomes the drawback in original IFS iteration algorithm, i.e., too much self-similarity, and makes grown trees more authentic. In the mean time, the IFS fractal simplification algorithm was proposed, with which the program running efficiency can be improved provided that tree conformation is not affected. Results: this paper presents a fractal growth method with a growth model to control IFS, which combines the improved algorithm and the growth model. Conclusions: combination of the conformation model and the growth model makes simulation of natural tree growth more vividly. ?2009 IEEE.