KMS Nanjing Institute of Geology and Palaeonotology,CAS
Artificial neural networks reveal a high-resolution climatic signal in leaf physiognomy | |
Li, SF (Li, Shu-Feng); Jacques, FMB (Jacques, Frederic M. B.); Spicer, RA (Spicer, Robert A.); Su, T (陶澍); Spicer, TEV (Spicer, Teresa E. V.); Yang, J (Yang, Jian); Zhou, ZK (周浙昆) | |
2016 | |
发表期刊 | Palaeogeography, Palaeoclimatology, Palaeoecology
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卷号 | 442页码:1-11 |
DOI | 10.1016/j.palaeo.2015.11.005 |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000369681300001 |
文献类型 | 期刊论文 |
条目标识符 | 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. |
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