Forest volume estimation using nonlinear multiregression based on Choquet integrals

Author

Huang, Dong-mei ; Gu, Jian-cai ; Xiao, Tao ; Zhang, Ning ; Zhen, Xin-wu

Author_Institution

Coll. of Sci., Agric. Univ. of Hebei, Baoding, China

Volume

6

fYear

2009

fDate

12-15 July 2009

Firstpage

3705

Lastpage

3709

Abstract

Nonlinear multiregression based on choquet integrals has been widely researched. In this paper, a new estimation model of the forest volume using nonlinear multiregression based on Choquet integrals was established. In this paper, PSO (Particle Swarm Optimization) is used to determine the unknown parameters of nonlinear multiregression based on Choquet integrals, and the traceable-analysis is used to selected predominant factors affecting the estimation of the forest volume. The results show effectiveness of the estimation model of the forest volume based on choquet integrals and the results are satisfying. The application of this model provides scientific basis for dynamic and scientific management of forest resource.

Keywords

estimation theory; forestry; integral equations; particle swarm optimisation; regression analysis; Choquet integrals; PSO; estimation model; forest resource; forest volume estimation; nonlinear multiregression; particle swarm optimization; scientific management; traceable-analysis; Computer science; Cybernetics; Data mining; Educational institutions; Forestry; Genetic algorithms; Heuristic algorithms; Machine learning; Particle swarm optimization; Resource management; Choquet integrals; Forest volume estimation; Nonlinear multiregression; PSO; Traceable-analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2009 International Conference on

Conference_Location

Baoding

Print_ISBN

978-1-4244-3702-3

Electronic_ISBN

978-1-4244-3703-0

Type

conf

DOI

10.1109/ICMLC.2009.5212714

Filename

5212714