Artificial neural networks reveal a high-resolution climatic signal in leaf physiognomy
文献类型：期刊论文
| 作者 | Li, SF (Li, Shu-Feng); Jacques, FMB (Jacques, Frederic M. B.); Spicer, RA (Spicer, Robert A.); Su, T (Su, Tao); Spicer, TEV (Spicer, Teresa E. V.); Yang, J (Yang, Jian); Zhou, ZK (Zhou, Zhe-Kun) |
| 刊名 | Palaeogeography, Palaeoclimatology, Palaeoecology
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| 出版日期 | 2016 |
| 卷号 | 442页码:1-11 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 源URL | [http://ir.nigpas.ac.cn/handle/332004/12630]  |
| 专题 | 中国科学院南京地质古生物研究所 |
| 推荐引用方式 GB/T 7714 | Li, SF ,Jacques, FMB ,Spicer, RA ,et al. Artificial neural networks reveal a high-resolution climatic signal in leaf physiognomy[J]. Palaeogeography, Palaeoclimatology, Palaeoecology,2016,442:1-11. |
| APA | Li, SF .,Jacques, FMB .,Spicer, RA .,Su, T .,Spicer, TEV .,...&Zhou, ZK .(2016).Artificial neural networks reveal a high-resolution climatic signal in leaf physiognomy.Palaeogeography, Palaeoclimatology, Palaeoecology,442,1-11. |
| MLA | Li, SF ,et al."Artificial neural networks reveal a high-resolution climatic signal in leaf physiognomy".Palaeogeography, Palaeoclimatology, Palaeoecology 442(2016):1-11. |
入库方式： OAI收割
来源：南京地质古生物研究所
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