基于BP神经网络的区域森林植被覆盖率预测

Regional Forest Vegetation Coverage Prediction based on BP Neural Network

森林也被称为地球之肺,人类的所有活动都离不开植物光合作用所产生的氧气,森林覆盖率已成为一个国家或地区的森林面积占有情况的重要指标。为了准确预测森林植被覆盖率,笔者基于BP神经网络算法对浙江省森林覆盖率进行预测。预测结果表明,BP神经网络预测森林覆盖率效果良好,预测模型具有良好的理论基础与应用前景。

The forest is called the lungs of the earth,the production of human life cannot do without the oxygen produced by plant photosynthesis,the forest coverage rate has become an important indicator of a country or region’s forest areas.In order to accurately predict forest vegetation coverage,the author predicts the coverage rate of Zhejiang province forest based on BP neural network.The results show that BP neural network has a good effect on forest coverage prediction,and the prediction model has good theoretical foundation and application prospect.