FUZZY AND NEURO-FUZZY ESTIMATES OF THE TOTAL HEIGHT OF EUCALYPTUS TREES

被引：0

作者：

Silva, Ricardo M. de A. ^{[1
]}

Brandao, Fillipe G. ^{[1
]}

Baleeiro, Gleimar B. ^{[1
]}

Valentim, Felipe L. ^{[1
]}

de Mendonca, Adriano R. ^{[2
]}

Pires, Danilo M. ^{[1
]}

机构：

[1] Univ Fed Lavras, Grp Inteligencia Computac Otimizacao GOIC, Dept Ciencia Comp, CP 3037,Campus Univ, BR-37200000 Lavras, MG, Brazil

[2] Univ Fed Lavras, Grp Inteligencia Computac Otimizacao GOIC, Dept Ciencias Florestais, BR-37200000 Lavras, MG, Brazil

来源：

APPLIED COMPUTING 2008, VOLS 1-3 | 2008年

关键词：

Eucalyptus; fuzzy; neuro-fuzzy;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Because of its many uses, including for paper, cellulose, and energy production, the Eucalyptus is an economically important tree. The estimate of eucalyptus total height is useful for forest handling and predicting production. The objective of this work is to study the relation between a eucalyptus tree's diameter at breast height (DBH) and age to its total height. Based on this data, we present decision systems developed using fuzzy logic and neurofuzzy systems. Both proposed models are compared with classical mathematical models; the neuro-fuzzy system has the highest accuracy and precision.

引用

页码：1772 / +

页数：2

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