Region Classification of Forestry Ecological-Economy System with BP Neural Network
First the principle of BP Net Neural Works was introduced, and the Region Classification model based on BP Net Neural Works of Forestry Ecological-Economy System was built. Then the City Forestry Ecological-Economy System of Sichuan province was classified with the model, moreover it was simulated with platform of MATLAB, and the Classification result was perfect, its Classification precision could arrive at above 90%.The emulator result indicated that the BP Net Neural Works pass through training could recognize region character of the Forestry Ecological-Economy System effectively,and could realize auto classification of the Forestry Ecological-Economy System.
M. Zhang et al., "Region Classification of Forestry Ecological-Economy System with BP Neural Network", Key Engineering Materials, Vols. 467-469, pp. 1864-1869, 2011