Earticle

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

저자

• 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 ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605