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논문검색

Study on Combustible Classification Method Based on Optimized BP Neural Network

원문정보

Meng ZHU, Lei ZHAO, Honge REN

보안공학연구지원센터(IJHIT) International Journal of Hybrid Information Technology Vol.9 No.5 2016.05 pp.173-184
피인용수 : 0건 (자료제공 : 네이버학술정보)

초록

영어

In this paper, combustible classification method based on optimized BP neural network is applied by referring to existing combustible classification method and aiming at the vegetation in the region of Hannuo River in Greater Higgnan Mountains. Combustible classification method based on ground type and stand factor is used according to features of BP neural network model. The results indicate that the classification method proposed in this paper owns high precision and good robustness.

목차

Abstract
 1. Introduction
 2. BP Neural Network
  2.1. BP Neural Network Mode
  2.2. BP Neural Network Training
  2.3. Input and Output Node Setting
 3. Experimental Results and Analysis
 4. Conclusion
 References

키워드

저자정보

  • Meng ZHU Northeast Forestry University, Harbin, Heilongjiang, 150040, China, Forestry Intelligent Equipment Engineering Research Center, Harbin, Heilongjiang, 150040, China
  • Lei ZHAO Northeast Forestry University, Harbin, Heilongjiang, 150040, China, Forestry Intelligent Equipment Engineering Research Center, Harbin, Heilongjiang, 150040, China
  • Honge REN Northeast Forestry University, Harbin, Heilongjiang, 150040, China, Forestry Intelligent Equipment Engineering Research Center, Harbin, Heilongjiang, 150040, China

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자료제공 : 네이버학술정보

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