Key Laboratory of Soil and Water Conservation and Desertification Combating,Ministry of Education, Beijing Forestry University,Beijing 100083,China 在期刊界中查找 在百度中查找 在本站中查找
Key Laboratory of Soil and Water Conservation and Desertification Combating,Ministry of Education, Beijing Forestry University,Beijing 100083,China 在期刊界中查找 在百度中查找 在本站中查找
Key Laboratory of Soil and Water Conservation and Desertification Combating,Ministry of Education, Beijing Forestry University,Beijing 100083,China 在期刊界中查找 在百度中查找 在本站中查找
Key Laboratory of Soil and Water Conservation and Desertification Combating,Ministry of Education, Beijing Forestry University,Beijing 100083,China 在期刊界中查找 在百度中查找 在本站中查找
Key Laboratory of Soil and Water Conservation and Desertification Combating,Ministry of Education, Beijing Forestry University,Beijing 100083,China 在期刊界中查找 在百度中查找 在本站中查找
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.