Region Classification of Forestry Ecological-Economy System with BP Neural Network

Mei Zhang; Jing Hua Wen; Zu Xun Zhang

doi:10.4028/www.scientific.net/KEM.467-469.1864

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 467-469Region Classification of Forestry...

Region Classification of Forestry Ecological-Economy System with BP Neural Network

Abstract:

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.

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Periodical:

Key Engineering Materials (Volumes 467-469)

Pages:

1864-1869

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.467-469.1864

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Online since:

February 2011

Authors:

Mei Zhang, Jing Hua Wen, Zu Xun Zhang

Keywords:

BP Neural Network (BPNN), Classification, Forestry Ecological-Economy, MATLAB, Region

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