| 基于BP神经网络的杉木林蓄积量估测研究 |
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| 引用本文： | 许炜敏,陈友飞,陈明华,郑丽丹,张清林.基于BP神经网络的杉木林蓄积量估测研究[J].福建林学院学报,2012,32(4):310-315. |
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| 作者姓名： | 许炜敏 陈友飞 陈明华 郑丽丹 张清林 |
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| 作者单位： | 1. 福建师范大学地理科学学院,福建福州,350007
2. 闽侯白沙国有林场,福建闽侯,350102 |
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| 基金项目： | 福建省林业厅科技研究项目 |
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| 摘 要： | 以杉木人工林为研究对象,选取与蓄积量预测有关的因子作为样本输入,通过分析神经网络各参数对网络性能的影响得到最佳参数值,构建结构为10∶3∶1的杉木林蓄积量BP神经网络模型,通过模型训练随机抽取46个样本单元数据并预测20个检验样本。结果表明:BP神经网络对于林分蓄积量具有很好的模拟效果,总体拟合精度为88.5%,均方误差MSE=2.95,所构模型合理、稳定,能够快速有效预测杉木林的变化规律。
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| 关 键 词： | 杉木林 人工神经网络 BP算法 蓄积量预测 |
Research on the estimation of Chinese fir volume based on BP neural networks |
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| XU Wei-min
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CHEN You-fei
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CHEN Ming-hua
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ZHENG Li-dan
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ZHANG Qing-lin.Research on the estimation of Chinese fir volume based on BP neural networks[J].Journal of Fujian College of Forestry,2012,32(4):310-315. |
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| Authors: | XU Wei-min CHEN You-fei CHEN Ming-hua ZHENG Li-dan ZHANG Qing-lin |
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| Institution: | 1(1.College of Geographical Sciences,Fujian Normal University,Fuzhou,Fujian 350007,China; 2.Minhou Baisha State-owned Forest Farms,Minhou,Fujian 350102,China) |
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| Abstract: | Taking artificial Chinese fir as study object,this paper selected factors related to stock volume prediction as input samples.The best parameter values were obtained by analyzing the impact of parameters on the neural networks performance,and then the BP neural network model of Chinese fir volume was built with the structure of 10∶ 3∶ 1.Finally,46 samples were selected randomly by model training and 20 test samples were predicted.The results showed that there was a good simulation of stock volume by BP neural networks,with overall fitting accuracy 88.5%,and mean square error 2.95,illustrating that the model was reasonable,stable and able to predict the law of Chinese fir changes fast and effectively. |
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| Keywords: | Chinese fir artificial neural networks BP algorithm stock volume prediction |
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