Title :
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
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;
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
DOI :
10.1109/ICMLC.2009.5212714
