卷积 (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "卷积" in Chinese language version.

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8web.archive.org

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4books.google.com

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2archive.org

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2wolfram.com

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2semanticscholar.org

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1jhu.edu

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1ieee.org

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1nips.cc

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archive.org

Irwin, J. David. 4.3. The Industrial Electronics Handbook 1. Boca Raton, FL: CRC Press. 1997: 75. ISBN 0-8493-8343-9.
（Stein & Weiss 1971，Theorem 1.3） Stein, Elias; Weiss, Guido, Introduction to Fourier Analysis on Euclidean Spaces, Princeton University Press, 1971, ISBN 0-691-08078-X .

books.google.com

R. N. Bracewell, Early work on imaging theory in radio astronomy, W. T. Sullivan (编), The Early Years of Radio Astronomy: Reflections Fifty Years After Jansky's Discovery, Cambridge University Press: 172, 2005, ISBN 978-0-521-61602-7
John Hilton Grace and Alfred Young, The algebra of invariants, Cambridge University Press: 40, 1903
Leonard Eugene Dickson, Algebraic invariants, J. Wiley: 85, 1914
Priemer, Roland. Introductory Signal Processing. Advanced Series in Electrical and Computer Engineering 6. Teaneck,N.J.: World Scientific Pub Co Inc. July 1991: 286–289 [2023-10-26]. ISBN 9971-50-919-9. （原始内容存档于2023-10-11）.

doi.org

dx.doi.org

Zhang, Yingjie; Soon, Hong Geok; Ye, Dongsen; Fuh, Jerry Ying Hsi; Zhu, Kunpeng. Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks. IEEE Transactions on Industrial Informatics. September 2020, 16 (9): 5769–5779 [2023-10-24]. ISSN 1941-0050. S2CID 213010088. doi:10.1109/TII.2019.2956078. （原始内容存档于2023-07-31）.
Chervyakov, N.I.; Lyakhov, P.A.; Deryabin, M.A.; Nagornov, N.N.; Valueva, M.V.; Valuev, G.V. Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network. Neurocomputing. September 2020, 407: 439–453 [2023-10-24]. S2CID 219470398. doi:10.1016/j.neucom.2020.04.018. （原始内容存档于2023-06-29）（英语）. Convolutional neural networks represent deep learning architectures that are currently used in a wide range of applications, including computer vision, speech recognition, time series analysis in finance, and many others.

dspguide.com

Smith, Stephen W. 13.Convolution. The Scientist and Engineer's Guide to Digital Signal Processing 1. California Technical Publishing. 1997 [22 April 2016]. ISBN 0-9660176-3-3. （原始内容存档于2023-06-26）.

elsevier.com

linkinghub.elsevier.com

Chervyakov, N.I.; Lyakhov, P.A.; Deryabin, M.A.; Nagornov, N.N.; Valueva, M.V.; Valuev, G.V. Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network. Neurocomputing. September 2020, 407: 439–453 [2023-10-24]. S2CID 219470398. doi:10.1016/j.neucom.2020.04.018. （原始内容存档于2023-06-29）（英语）. Convolutional neural networks represent deep learning architectures that are currently used in a wide range of applications, including computer vision, speech recognition, time series analysis in finance, and many others.

ieee.org

ieeexplore.ieee.org

Zhang, Yingjie; Soon, Hong Geok; Ye, Dongsen; Fuh, Jerry Ying Hsi; Zhu, Kunpeng. Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks. IEEE Transactions on Industrial Informatics. September 2020, 16 (9): 5769–5779 [2023-10-24]. ISSN 1941-0050. S2CID 213010088. doi:10.1109/TII.2019.2956078. （原始内容存档于2023-07-31）.

jhu.edu

Crutchfield, Steve, The Joy of Convolution, Johns Hopkins University, October 12, 2010 [November 21, 2010], （原始内容存档于2013-09-11）

nips.cc

papers.nips.cc

Atlas, Homma, and Marks. An Artificial Neural Network for Spatio-Temporal Bipolar Patterns: Application to Phoneme Classification (PDF). Neural Information Processing Systems (NIPS 1987). （原始内容存档 (PDF)于2021-04-14）.

semanticscholar.org

api.semanticscholar.org

Zhang, Yingjie; Soon, Hong Geok; Ye, Dongsen; Fuh, Jerry Ying Hsi; Zhu, Kunpeng. Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks. IEEE Transactions on Industrial Informatics. September 2020, 16 (9): 5769–5779 [2023-10-24]. ISSN 1941-0050. S2CID 213010088. doi:10.1109/TII.2019.2956078. （原始内容存档于2023-07-31）.
Chervyakov, N.I.; Lyakhov, P.A.; Deryabin, M.A.; Nagornov, N.N.; Valueva, M.V.; Valuev, G.V. Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network. Neurocomputing. September 2020, 407: 439–453 [2023-10-24]. S2CID 219470398. doi:10.1016/j.neucom.2020.04.018. （原始内容存档于2023-06-29）（英语）. Convolutional neural networks represent deep learning architectures that are currently used in a wide range of applications, including computer vision, speech recognition, time series analysis in finance, and many others.

web.archive.org

Smith, Stephen W. 13.Convolution. The Scientist and Engineer's Guide to Digital Signal Processing 1. California Technical Publishing. 1997 [22 April 2016]. ISBN 0-9660176-3-3. （原始内容存档于2023-06-26）.
Crutchfield, Steve, The Joy of Convolution, Johns Hopkins University, October 12, 2010 [November 21, 2010], （原始内容存档于2013-09-11）
Priemer, Roland. Introductory Signal Processing. Advanced Series in Electrical and Computer Engineering 6. Teaneck,N.J.: World Scientific Pub Co Inc. July 1991: 286–289 [2023-10-26]. ISBN 9971-50-919-9. （原始内容存档于2023-10-11）.
Weisstein, Eric W. Convolution. mathworld.wolfram.com. [2021-09-22]. （原始内容存档于2002-01-14）（英语）.
Weisstein, Eric W. From MathWorld--A Wolfram Web Resource. [2023-10-23]. （原始内容存档于2000-07-11）.
Zhang, Yingjie; Soon, Hong Geok; Ye, Dongsen; Fuh, Jerry Ying Hsi; Zhu, Kunpeng. Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks. IEEE Transactions on Industrial Informatics. September 2020, 16 (9): 5769–5779 [2023-10-24]. ISSN 1941-0050. S2CID 213010088. doi:10.1109/TII.2019.2956078. （原始内容存档于2023-07-31）.
Chervyakov, N.I.; Lyakhov, P.A.; Deryabin, M.A.; Nagornov, N.N.; Valueva, M.V.; Valuev, G.V. Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network. Neurocomputing. September 2020, 407: 439–453 [2023-10-24]. S2CID 219470398. doi:10.1016/j.neucom.2020.04.018. （原始内容存档于2023-06-29）（英语）. Convolutional neural networks represent deep learning architectures that are currently used in a wide range of applications, including computer vision, speech recognition, time series analysis in finance, and many others.
Atlas, Homma, and Marks. An Artificial Neural Network for Spatio-Temporal Bipolar Patterns: Application to Phoneme Classification (PDF). Neural Information Processing Systems (NIPS 1987). （原始内容存档 (PDF)于2021-04-14）.

wolfram.com

mathworld.wolfram.com

Weisstein, Eric W. Convolution. mathworld.wolfram.com. [2021-09-22]. （原始内容存档于2002-01-14）（英语）.
Weisstein, Eric W. From MathWorld--A Wolfram Web Resource. [2023-10-23]. （原始内容存档于2000-07-11）.

worldcat.org

Zhang, Yingjie; Soon, Hong Geok; Ye, Dongsen; Fuh, Jerry Ying Hsi; Zhu, Kunpeng. Powder-Bed Fusion Process Monitoring by Machine Vision With Hybrid Convolutional Neural Networks. IEEE Transactions on Industrial Informatics. September 2020, 16 (9): 5769–5779 [2023-10-24]. ISSN 1941-0050. S2CID 213010088. doi:10.1109/TII.2019.2956078. （原始内容存档于2023-07-31）.