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基于人工神经网络的山西省森林资源预测研究
引用本文:闫海冰. 基于人工神经网络的山西省森林资源预测研究[J]. 山西农业大学学报(自然科学版), 2008, 28(4)
作者姓名:闫海冰
作者单位:山西农业大学,林学院,山西,太谷,030801
基金项目:山西农业大学校科研和教改项目
摘    要:以森林资源一类清查数据为基础,利用人工神经网络的BP算法对山西省森林资源的发展趋势进行了预测。结果表明:山西省森林资源在相对稳定的条件下,森林面积、蓄积呈现稳定增长态势,森林生态功能逐步完善;到2010年森林覆盖率将达到21%;单位面积蓄积量呈明显下降趋势,森林生产力下降。此结果为研究区森林经营提供科学依据。

关 键 词:人工神经网络  森林资源  预测  山西省

Prediction of Forest Resources in Shanxi Province Based on Artificial Neural Network
YAN Hai-bing. Prediction of Forest Resources in Shanxi Province Based on Artificial Neural Network[J]. Journal of Shanxi Agricultural University(Nature Science Edition), 2008, 28(4)
Authors:YAN Hai-bing
Abstract:The development trend of forest resources in Shanxi province was predicted based on the continuous forest resources check data by model of the artificial BP Neural Network.The result show that,under the relatively steady condition,the forest resources in area and volume are developing as a continuous and steady increase trend,ecological function of forestry is close to perfect.To 2010,the forest coverage rate will come to 21%.But unit area volume and forest productivity is declining.The result provides scientific foundation for the forestry management of studied area.
Keywords:Artificial neural network  Forest resources  Prediction  Shanxi province
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