Health Evaluation of Larix Kaempferi Plantation Ecosystem Based on BP Neural Network Model

Abstract:

Based on the basic theory of the forest ecosystem, we build the index system to evaluate forest ecosystem health from the stand-scale and take advantage of improved BP neural network to evaluate the ecosystem health of Larix Kaempferi plantation in the Liaodong area quantitatively. And then we analyze the stand-scale health grade status according to different slope aspect, forest age, average tree height and altitude. The results indicate that we make the satisfactory process to research the complex forest ecosystem using the improved BP neural network. The improved BP neural network which uses the momentum-adaptive learning rate adjustment algorithm and L-M learning rules decreases iteration times, makes the convergence speed very fast and improve the precision.

• Periodical: Advanced Materials Research (Volume 663)
• Pages: 823-826
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.663.823
• Online since: February 2013
• Authors: Shu Rong Hui, Xiao Xiao Dai, Hui Liu, Qiang Liu
• Keywords: Forest Ecosystem, Improved BP Neural Network, Index System, Larix Kaempferi, Stand-Scale

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