Solution to The Model of Nonlinear Multiregression Based on Generalized Choquet Integral And Its Application in Estimating Forest Volume
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.
nonlinear multiregression choquet integrals PSO forest stock volume
Tao Xiao Ning Zhang Dong-Mei Huang
College of Science Agricultural University of Hebei Baoding, China Department of Computer Science and Technology Renai College of Tianjin University Tianjin, China Agricultural University of Hebei Baoding, China
国际会议
太原
英文
161-165
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）