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非线性立木材积模型参数辨识的改进算法及其应用(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2004年03期
Page:
1-4
Column:
研究论文
publishdate:
1900-01-01

Article Info:/Info

Title:
The Improved Algorithm and Application of Parametric Identification for Nonlinear Tree Volume Model
Article ID:
1000-2006(2004)03-0001-04
Author(s):
SHE Guang-hui~1LIU En-bin~1YE Jin-sheng~2LIN Shou-ming~2
1.Nanjing Forestry University,Nanjing 210037,China;2.Forestry Surveying and Designing Institute of Guangdong Province,Guangzhou 510500,China
Keywords:
NonlinearTree volume modelParametric identificationImproved algorithm
Classification number :
S757;0212
DOI:
10.3969/j.jssn.1000-2006.2004.03.001
Document Code:
A
Abstract:
Forestry surveying and estimation are one of the most important business for forestry management.Tree volume measurement used table is one of the most important method in the forestry property evaluation.A better algorithm is the key for estimative precision of model.This paper,based on parametric identification of Marquardt nonlinear model,takes an example of Commonly Used Two-Way Tree Volume Model,elucidates the least-squares minimization of nonlinear parametric estimation and analyzes error of estimative algorithm.Quadric algorithm based on quadric function approximate is applied to improve estimative precision of Tree Volume Model.Forestry resources’s surveying sample data is tested for improved algorithm.The result shows that the improved algorithm can improve more 10 percent estimative precision than that of old algorithm.

References

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Last Update: 1900-01-01