光谱学与光谱分析, 2017, 37 (1): 189, 网络出版: 2017-02-09  

基于SARIMA-BP神经网络组合方法的MODIS叶面积指数时间序列建模与预测

Modeling and Predicting of MODIS Leaf Area Index Time Series Based on a Hybrid SARIMA and BP Neural Network Method
作者单位
1 中国科学院东北地理与农业生态研究所, 吉林 长春 130102
2 中国科学院大学, 北京 100049
3 Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
引用该论文

姜春雷, 张树清, 张策, 李华朋, 丁小辉. 基于SARIMA-BP神经网络组合方法的MODIS叶面积指数时间序列建模与预测[J]. 光谱学与光谱分析, 2017, 37(1): 189.

JIANG Chun-lei, ZHANG Shu-qing, ZHANG Ce, LI Hua-peng, DING Xiao-hui. Modeling and Predicting of MODIS Leaf Area Index Time Series Based on a Hybrid SARIMA and BP Neural Network Method[J]. Spectroscopy and Spectral Analysis, 2017, 37(1): 189.

参考文献

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姜春雷, 张树清, 张策, 李华朋, 丁小辉. 基于SARIMA-BP神经网络组合方法的MODIS叶面积指数时间序列建模与预测[J]. 光谱学与光谱分析, 2017, 37(1): 189. JIANG Chun-lei, ZHANG Shu-qing, ZHANG Ce, LI Hua-peng, DING Xiao-hui. Modeling and Predicting of MODIS Leaf Area Index Time Series Based on a Hybrid SARIMA and BP Neural Network Method[J]. Spectroscopy and Spectral Analysis, 2017, 37(1): 189.

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