Land Use Change Simulation Model Based on Support Vector Machine
-
-
Abstract
We apply support vector machine to simulate the relation between arable land area and datum of driving forces of land use change of Hubei Province from 1986-2004,and compare the test values by GA-SVM with ones by BP and RBF neural networks models.Practice proves the simulation results of land use change by SVM are more effective than those from BP-ANN,and is approximate to the precision of RBF-ANN.
-
-