Prediction of Forest Ecosystem Health Based on BP Neural Network

WU Qiao-ying; CHEN Li-hua; LI Xiao-feng; WANG Peng; BIAN Xi-chen

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Prediction of Forest Ecosystem Health Based on BP Neural Network

- Prediction of Forest Ecosystem Health Based on BP Neural Network
- Bulletin of Soiland Water Conservation Vol. 30, Issue 2, Pages: 150-154(2011)
- 作者机构：
  
  北京林业大学水土保持及荒漠化教育部重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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WU Qiao-ying, CHEN Li-hua, LI Xiao-feng, et al. Prediction of Forest Ecosystem Health Based on BP Neural Network[J]. Bulletin of Soiland Water Conservation, 2011, 30(2): 150-154.
DOI：

WU Qiao-ying, CHEN Li-hua, LI Xiao-feng, et al. Prediction of Forest Ecosystem Health Based on BP Neural Network[J]. Bulletin of Soiland Water Conservation, 2011, 30(2): 150-154. DOI：

摘要

森林的健康状况将直接影响全球生态稳定和全人类的可持续发展

而对森林健康预测是人们了解森林生态状况的重要手段。在选定森林健康评价指标的基础上

建立了一个3层BP神经网络模型

并应用于鹫峰国家森林公园森林健康预测。预测验证结果表明

基于神经网络预测森林生态系统健康具有良好的合理性与可靠性。并为了构建一个准确稳定的森林健康预测模型

给出了一些相关建议。

Abstract

The health of forests affects directly global ecological stability and sustainable development.The prediction of forest health is an important means for people to understand forest health status.Based on the selected indicators of forest health

a model has been constructed to predict the health of Jiufeng National Forest Park using a three-layer BP neural network.The results show that the adoption of neural network in forest ecosystem health forecasting was reasonable and reliable.Some important conclusions and recommendations have also been given for constructing a precise and stable prediction model.

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