循环神经网络 (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "循环神经网络" in Chinese language version.

refsWebsite

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13web.archive.org

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9doi.org

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9arxiv.org

69^th place

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3nih.gov

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3nips.cc

low place

6,768^th place

2harvard.edu

18^th place

57^th place

2acm.org

1,185^th place

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2googleusercontent.com

243^rd place

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1jmlr.org

low place

1archive.org

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1worldcat.org

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1googleresearch.blogspot.ch

low place

1ieee.org

652^nd place

712^th place

1brains-minds-media.org

low place

1psu.edu

207^th place

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1semanticscholar.org

11^th place

332^nd place

acm.org (Global: 1,185^th place; Chinese: 809^th place)

dl.acm.org

Fernández, Santiago; Graves, Alex; Schmidhuber, Jürgen. An Application of Recurrent Neural Networks to Discriminative Keyword Spotting. ICANN'07. Berlin, Heidelberg: Springer-Verlag. 2007: 220–229 [2020-02-27]. ISBN 978-3-540-74693-5. （原始内容存档于2018-10-06）. |journal=被忽略 (帮助)
经典模型Long Short-Term Memory的原论文，发表于1997年。. [2015-04-23]. （原始内容存档于2019-08-09）.

archive.org (Global: 6^th place; Chinese: 4^th place)

Williams, Ronald J.; Hinton, Geoffrey E.; Rumelhart, David E. Learning representations by back-propagating errors. Nature. October 1986, 323 (6088): 533–536. Bibcode:1986Natur.323..533R. ISSN 1476-4687. doi:10.1038/323533a0.

arxiv.org (Global: 69^th place; Chinese: 254^th place)

时钟结构的RNN （页面存档备份，存于互联网档案馆），2014年2月。
Hannun, Awni; Case, Carl; Casper, Jared; Catanzaro, Bryan; Diamos, Greg; Elsen, Erich; Prenger, Ryan; Satheesh, Sanjeev; Sengupta, Shubho. Deep Speech: Scaling up end-to-end speech recognition. 2014-12-17. arXiv:1412.5567  [cs.CL].
Li, Xiangang; Wu, Xihong. Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition. 2014-10-15. arXiv:1410.4281  [cs.CL].
Sutskever, Ilya; Vinyals, Oriol; Le, Quoc V. Sequence to Sequence Learning with Neural Networks (PDF). Electronic Proceedings of the Neural Information Processing Systems Conference. 2014, 27: 5346 [2020-02-27]. Bibcode:2014arXiv1409.3215S. arXiv:1409.3215 . （原始内容存档 (PDF)于2021-05-09）.
Jozefowicz, Rafal; Vinyals, Oriol; Schuster, Mike; Shazeer, Noam; Wu, Yonghui. Exploring the Limits of Language Modeling. 2016-02-07. arXiv:1602.02410  [cs.CL].
Gillick, Dan; Brunk, Cliff; Vinyals, Oriol; Subramanya, Amarnag. Multilingual Language Processing From Bytes. 2015-11-30. arXiv:1512.00103  [cs.CL].
Vinyals, Oriol; Toshev, Alexander; Bengio, Samy; Erhan, Dumitru. Show and Tell: A Neural Image Caption Generator. 2014-11-17. arXiv:1411.4555  [cs.CV].
Cho, K., van et al (2014a). 统计机器翻译方法：使用RNN进行短语编码解码。. [2015-04-23]. （原始内容存档于2022-02-08）.
Cho. k. et al 使用RNN和对齐模型的短语统计机器翻译方法。(2014.a.). [2015-04-23]. （原始内容存档于2022-06-19）.

brains-minds-media.org (Global: low place; Chinese: low place)

Cruse, Holk; Neural Networks as Cybernetic Systems （页面存档备份，存于互联网档案馆）, 2nd and revised edition

doi.org (Global: 2^nd place; Chinese: 23^rd place)

Table 2: Details of the NOS (Oh et al., 2023; Roderburg et al., 2021; Kurita et al., 2017; Musicco et al., 2013; Jørgensen et al., 2012; Khan et al., 2011; Baxter et al., 2009; Ren et al., 2022; Valentine et al., 2022; Ording et al., 2019; Heun et al., 2013; Ou et al., 2013; Attner et al., 2010).. doi.org. [2025-08-07].
Bengio, Ofra, Iraq (Al-Jumhuriyya al-‘Iraqiyya), Routledge: 423–459, 2020-01-16 [2025-08-07], ISBN 978-0-429-03297-4
Williams, Ronald J.; Hinton, Geoffrey E.; Rumelhart, David E. Learning representations by back-propagating errors. Nature. October 1986, 323 (6088): 533–536. Bibcode:1986Natur.323..533R. ISSN 1476-4687. doi:10.1038/323533a0.
Hochreiter, Sepp; Schmidhuber, Jürgen. Long Short-Term Memory. Neural Computation. 1997-11-01, 9 (8): 1735–1780. PMID 9377276. doi:10.1162/neco.1997.9.8.1735.
Figure 3: Forest plots of visfatin levels in patients with periodontitis before and after treatment (Raghavendra et al., 2012; Çetiner et al., 2019; Bengi et al., 2024; Abolfazli et al., 2015; Tabari et al., 2015; Özcan et al., 2016a, 2017; Mopidevi et al., 2019; Saseendran et al., 2021).. doi.org. [2025-08-07].
Elman, Jeffrey L. Finding Structure in Time. Cognitive Science. 1990, 14 (2): 179–211. doi:10.1016/0364-0213(90)90002-E.
Jordan, Michael I. Serial Order: A Parallel Distributed Processing Approach. Neural-Network Models of Cognition 121. 1997-01-01: 471–495. ISBN 9780444819314. doi:10.1016/s0166-4115(97)80111-2. |journal=被忽略 (帮助)
Graves, Alex; Schmidhuber, Jürgen. Framewise phoneme classification with bidirectional LSTM and other neural network architectures. Neural Networks. IJCNN 2005. 2005-07-01, 18 (5): 602–610. CiteSeerX 10.1.1.331.5800 . PMID 16112549. doi:10.1016/j.neunet.2005.06.042.
Thireou, Trias; Reczko, Martin. Bidirectional Long Short-Term Memory Networks for Predicting the Subcellular Localization of Eukaryotic Proteins. IEEE/ACM Transactions on Computational Biology and Bioinformatics. July 2007, 4 (3): 441–446. PMID 17666763. S2CID 11787259. doi:10.1109/tcbb.2007.1015.

googleresearch.blogspot.ch (Global: low place; Chinese: low place)

Sak, Haşim; Senior, Andrew; Rao, Kanishka; Beaufays, Françoise; Schalkwyk, Johan. Google voice search: faster and more accurate. September 2015 [2020-02-27]. （原始内容存档于2016-03-09）.

googleusercontent.com (Global: 243^rd place; Chinese: 550^th place)

static.googleusercontent.com

Sak, Haşim; Senior, Andrew; Beaufays, Françoise. Long Short-Term Memory recurrent neural network architectures for large scale acoustic modeling (PDF). 2014 [2020-02-28]. （原始内容 (PDF)存档于2019-09-22）.
Zen, Heiga; Sak, Haşim. Unidirectional Long Short-Term Memory Recurrent Neural Network with Recurrent Output Layer for Low-Latency Speech Synthesis (PDF). Google.com. ICASSP: 4470–4474. 2015 [2020-02-27]. （原始内容存档 (PDF)于2021-05-09）.

harvard.edu (Global: 18^th place; Chinese: 57^th place)

ui.adsabs.harvard.edu

Williams, Ronald J.; Hinton, Geoffrey E.; Rumelhart, David E. Learning representations by back-propagating errors. Nature. October 1986, 323 (6088): 533–536. Bibcode:1986Natur.323..533R. ISSN 1476-4687. doi:10.1038/323533a0.
Sutskever, Ilya; Vinyals, Oriol; Le, Quoc V. Sequence to Sequence Learning with Neural Networks (PDF). Electronic Proceedings of the Neural Information Processing Systems Conference. 2014, 27: 5346 [2020-02-27]. Bibcode:2014arXiv1409.3215S. arXiv:1409.3215 . （原始内容存档 (PDF)于2021-05-09）.

ieee.org (Global: 652^nd place; Chinese: 712^th place)

ieeexplore.ieee.org

Bidirectional RNN, (1997)

jmlr.org (Global: low place; Chinese: low place)

循环网络结构的经验之谈（页面存档备份，存于互联网档案馆），谷歌论文，2015年。

nih.gov (Global: 4^th place; Chinese: 5^th place)

ncbi.nlm.nih.gov

Hochreiter, Sepp; Schmidhuber, Jürgen. Long Short-Term Memory. Neural Computation. 1997-11-01, 9 (8): 1735–1780. PMID 9377276. doi:10.1162/neco.1997.9.8.1735.
Graves, Alex; Schmidhuber, Jürgen. Framewise phoneme classification with bidirectional LSTM and other neural network architectures. Neural Networks. IJCNN 2005. 2005-07-01, 18 (5): 602–610. CiteSeerX 10.1.1.331.5800 . PMID 16112549. doi:10.1016/j.neunet.2005.06.042.
Thireou, Trias; Reczko, Martin. Bidirectional Long Short-Term Memory Networks for Predicting the Subcellular Localization of Eukaryotic Proteins. IEEE/ACM Transactions on Computational Biology and Bioinformatics. July 2007, 4 (3): 441–446. PMID 17666763. S2CID 11787259. doi:10.1109/tcbb.2007.1015.

nips.cc (Global: low place; Chinese: 6,768^th place)

papers.nips.cc

Graves, Alex; Schmidhuber, Jürgen. Bengio, Yoshua; Schuurmans, Dale; Lafferty, John; Williams, Chris editor-K. I.; Culotta, Aron , 编. Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks. Neural Information Processing Systems (NIPS) Foundation: 545–552. 2009 [2020-02-27]. （原始内容存档于2020-09-07）.
Sutskever, Ilya; Vinyals, Oriol; Le, Quoc V. Sequence to Sequence Learning with Neural Networks (PDF). Electronic Proceedings of the Neural Information Processing Systems Conference. 2014, 27: 5346 [2020-02-27]. Bibcode:2014arXiv1409.3215S. arXiv:1409.3215 . （原始内容存档 (PDF)于2021-05-09）.
神经网络学习：序列到序列（页面存档备份，存于互联网档案馆），作者Sutskever，2014年。

psu.edu (Global: 207^th place; Chinese: 628^th place)

citeseerx.ist.psu.edu

Graves, Alex; Schmidhuber, Jürgen. Framewise phoneme classification with bidirectional LSTM and other neural network architectures. Neural Networks. IJCNN 2005. 2005-07-01, 18 (5): 602–610. CiteSeerX 10.1.1.331.5800 . PMID 16112549. doi:10.1016/j.neunet.2005.06.042.

semanticscholar.org (Global: 11^th place; Chinese: 332^nd place)

api.semanticscholar.org

Thireou, Trias; Reczko, Martin. Bidirectional Long Short-Term Memory Networks for Predicting the Subcellular Localization of Eukaryotic Proteins. IEEE/ACM Transactions on Computational Biology and Bioinformatics. July 2007, 4 (3): 441–446. PMID 17666763. S2CID 11787259. doi:10.1109/tcbb.2007.1015.

web.archive.org (Global: 1^st place; Chinese: 1^st place)

时钟结构的RNN （页面存档备份，存于互联网档案馆），2014年2月。
循环网络结构的经验之谈（页面存档备份，存于互联网档案馆），谷歌论文，2015年。
Fernández, Santiago; Graves, Alex; Schmidhuber, Jürgen. An Application of Recurrent Neural Networks to Discriminative Keyword Spotting. ICANN'07. Berlin, Heidelberg: Springer-Verlag. 2007: 220–229 [2020-02-27]. ISBN 978-3-540-74693-5. （原始内容存档于2018-10-06）. |journal=被忽略 (帮助)
Graves, Alex; Schmidhuber, Jürgen. Bengio, Yoshua; Schuurmans, Dale; Lafferty, John; Williams, Chris editor-K. I.; Culotta, Aron , 编. Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks. Neural Information Processing Systems (NIPS) Foundation: 545–552. 2009 [2020-02-27]. （原始内容存档于2020-09-07）.
Sak, Haşim; Senior, Andrew; Beaufays, Françoise. Long Short-Term Memory recurrent neural network architectures for large scale acoustic modeling (PDF). 2014 [2020-02-28]. （原始内容 (PDF)存档于2019-09-22）.
Zen, Heiga; Sak, Haşim. Unidirectional Long Short-Term Memory Recurrent Neural Network with Recurrent Output Layer for Low-Latency Speech Synthesis (PDF). Google.com. ICASSP: 4470–4474. 2015 [2020-02-27]. （原始内容存档 (PDF)于2021-05-09）.
Sak, Haşim; Senior, Andrew; Rao, Kanishka; Beaufays, Françoise; Schalkwyk, Johan. Google voice search: faster and more accurate. September 2015 [2020-02-27]. （原始内容存档于2016-03-09）.
Sutskever, Ilya; Vinyals, Oriol; Le, Quoc V. Sequence to Sequence Learning with Neural Networks (PDF). Electronic Proceedings of the Neural Information Processing Systems Conference. 2014, 27: 5346 [2020-02-27]. Bibcode:2014arXiv1409.3215S. arXiv:1409.3215 . （原始内容存档 (PDF)于2021-05-09）.
Cho, K., van et al (2014a). 统计机器翻译方法：使用RNN进行短语编码解码。. [2015-04-23]. （原始内容存档于2022-02-08）.
经典模型Long Short-Term Memory的原论文，发表于1997年。. [2015-04-23]. （原始内容存档于2019-08-09）.
Cho. k. et al 使用RNN和对齐模型的短语统计机器翻译方法。(2014.a.). [2015-04-23]. （原始内容存档于2022-06-19）.
神经网络学习：序列到序列（页面存档备份，存于互联网档案馆），作者Sutskever，2014年。
Cruse, Holk; Neural Networks as Cybernetic Systems （页面存档备份，存于互联网档案馆）, 2nd and revised edition

worldcat.org (Global: 5^th place; Chinese: 12^th place)

Williams, Ronald J.; Hinton, Geoffrey E.; Rumelhart, David E. Learning representations by back-propagating errors. Nature. October 1986, 323 (6088): 533–536. Bibcode:1986Natur.323..533R. ISSN 1476-4687. doi:10.1038/323533a0.

循环神经网络 (Chinese Wikipedia)

acm.org (Global: 1,185th place; Chinese: 809th place)

dl.acm.org

archive.org (Global: 6th place; Chinese: 4th place)

arxiv.org (Global: 69th place; Chinese: 254th place)

brains-minds-media.org (Global: low place; Chinese: low place)

doi.org (Global: 2nd place; Chinese: 23rd place)

googleresearch.blogspot.ch (Global: low place; Chinese: low place)

googleusercontent.com (Global: 243rd place; Chinese: 550th place)

static.googleusercontent.com

harvard.edu (Global: 18th place; Chinese: 57th place)

ui.adsabs.harvard.edu

ieee.org (Global: 652nd place; Chinese: 712th place)

ieeexplore.ieee.org

jmlr.org (Global: low place; Chinese: low place)

nih.gov (Global: 4th place; Chinese: 5th place)

ncbi.nlm.nih.gov

nips.cc (Global: low place; Chinese: 6,768th place)

papers.nips.cc

psu.edu (Global: 207th place; Chinese: 628th place)

citeseerx.ist.psu.edu

semanticscholar.org (Global: 11th place; Chinese: 332nd place)

api.semanticscholar.org

web.archive.org (Global: 1st place; Chinese: 1st place)

worldcat.org (Global: 5th place; Chinese: 12th place)

acm.org (Global: 1,185^th place; Chinese: 809^th place)

archive.org (Global: 6^th place; Chinese: 4^th place)

arxiv.org (Global: 69^th place; Chinese: 254^th place)

doi.org (Global: 2^nd place; Chinese: 23^rd place)

googleusercontent.com (Global: 243^rd place; Chinese: 550^th place)

harvard.edu (Global: 18^th place; Chinese: 57^th place)

ieee.org (Global: 652^nd place; Chinese: 712^th place)

nih.gov (Global: 4^th place; Chinese: 5^th place)

nips.cc (Global: low place; Chinese: 6,768^th place)

psu.edu (Global: 207^th place; Chinese: 628^th place)

semanticscholar.org (Global: 11^th place; Chinese: 332^nd place)

web.archive.org (Global: 1^st place; Chinese: 1^st place)

worldcat.org (Global: 5^th place; Chinese: 12^th place)