Title :
Solution to the model of nonlinear multiregression based on generalized Choquet integral and its application in estimating forest volume
Author :
Xiao, Tao ; Zhang, Ning ; Huang, Dong-mei
Author_Institution :
Coll. of Sci., Agric. Univ. of Hebei, Baoding, China
Abstract :
Multiregression is one of the most common approaches used in data mining. The crux of using a nonlinear multiregression model is how to effectively determine the unknown parameters. In this paper, PSO(Particle Swarm Optimization) is used to solve nonlinear multiregression based on generalized Choquet integrals. And we apply the model to estimate the forest stock volume of Saihanba forest farm. Experimental results show that PSO is an effective algorithm for solving nonlinear multiregression in terms of global-searching ability and convergence speed. The application of this model in estimation of the forest volume provides scientific basis for dynamic and scientific management of forest resource.
Keywords :
data mining; forestry; particle swarm optimisation; regression analysis; Saihanba forest farm; data mining; forest resource scientific management; forest stock volume estimation; generalized Choquet integral; global searching ability; nonlinear multiregression model; particle swarm optimization; Computational modeling; Conferences; Estimation; Mathematical model; Particle swarm optimization; Prediction algorithms; Solid modeling; Choquet integrals; Forest stock volume; Nonlinear multiregression; PSO;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5622121
