Perceptron (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Perceptron" in English language version.

Last modified: 13:00:03, 22 June 2026 (UTC)

Ref.Un. Ref.Website

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2722doi.org

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1210worldcat.org

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65adsabs.harvard.edu

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63web.archive.org

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65mit.edu

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aclweb.org (Global: low place; English: low place)

McDonald, R.; Hall, K.; Mann, G. (2010). "Distributed Training Strategies for the Structured Perceptron" (PDF). Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACL. Association for Computational Linguistics. pp. 456–464.

adsabs.harvard.edu (Global: 14^th place; English: 9^th place)

ui.adsabs.harvard.edu

Block, H. D. (1962-01-01). "The Perceptron: A Model for Brain Functioning. I". Reviews of Modern Physics. 34 (1): 123–135. Bibcode:1962RvMP...34..123B. doi:10.1103/RevModPhys.34.123. ISSN 0034-6861.
Krauth, W.; Mezard, M. (1987). "Learning algorithms with optimal stability in neural networks". Journal of Physics A: Mathematical and General. 20 (11): L745–L752. Bibcode:1987JPhA...20L.745K. doi:10.1088/0305-4470/20/11/013.
Wendemuth, A. (1995). "Learning the Unlearnable". Journal of Physics A: Mathematical and General. 28 (18): 5423–5436. Bibcode:1995JPhA...28.5423W. doi:10.1088/0305-4470/28/18/030.
Wendemuth, A. (1995). "Performance of robust training algorithms for neural networks". Journal of Physics A: Mathematical and General. 28 (19): 5485–5493. Bibcode:1995JPhA...28.5485W. doi:10.1088/0305-4470/28/19/006.
Anlauf, J. K.; Biehl, M. (1989). "The AdaTron: an Adaptive Perceptron algorithm". Europhysics Letters. 10 (7): 687–692. Bibcode:1989EL.....10..687A. doi:10.1209/0295-5075/10/7/014. S2CID 250773895.

ams.org (Global: 434^th place; English: 249^th place)

Block, H. D.; Levin, S. A. (1970). "On the boundedness of an iterative procedure for solving a system of linear inequalities". Proceedings of the American Mathematical Society. 26 (2): 229–235. doi:10.1090/S0002-9939-1970-0265383-5. ISSN 0002-9939.

aps.org (Global: 1,264^th place; English: 951^st place)

link.aps.org

Block, H. D. (1962-01-01). "The Perceptron: A Model for Brain Functioning. I". Reviews of Modern Physics. 34 (1): 123–135. Bibcode:1962RvMP...34..123B. doi:10.1103/RevModPhys.34.123. ISSN 0034-6861.

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

Principles of neurodynamics: Perceptrons and the theory of brain mechanisms, by Frank Rosenblatt, Report Number VG-1196-G-8, Cornell Aeronautical Laboratory, published on 15 March 1961. The work reported in this volume has been carried out under Contract Nonr-2381 (00) (Project PARA) at C.A.L. and Contract Nonr-401(40), at Cornell Univensity.

arxiv.org (Global: 49^th place; English: 31^st place)

Mohri, Mehryar; Rostamizadeh, Afshin (2013). "Perceptron Mistake Bounds". arXiv:1305.0208 [cs.LG].

bibsonomy.org (Global: low place; English: low place)

McCulloch, W; Pitts, W (1943). "A Logical Calculus of Ideas Immanent in Nervous Activity". Bulletin of Mathematical Biophysics. 5 (4): 115–133. doi:10.1007/BF02478259.

books.google.com (Global: 3^rd place; English: 3^rd place)

Sejnowski, Terrence J. (2018). The Deep Learning Revolution. MIT Press. p. 47. ISBN 978-0-262-03803-4.
MacKay, David (2003-09-25). Information Theory, Inference and Learning Algorithms. Cambridge University Press. p. 483. ISBN 9780521642989.

bpb-us-e2.wpmucdn.com (Global: low place; English: low place)

Rosenblatt, Frank (1957). "The Perceptron—a perceiving and recognizing automaton" (PDF). Report 85-460-1. Cornell Aeronautical Laboratory.

cam.ac.uk (Global: 569^th place; English: 354^th place)

repository.cam.ac.uk

Penn, Jonathan (2021-01-11). Inventing Intelligence: On the History of Complex Information Processing and Artificial Intelligence in the United States in the Mid-Twentieth Century (Thesis). [object Object]. doi:10.17863/cam.63087.

cambridge.org (Global: 209^th place; English: 151^st place)

Nilsson, Nils J. (2009). "4.2.1. Perceptrons". The Quest for Artificial Intelligence. Cambridge: Cambridge University Press. ISBN 978-0-521-11639-8.

cia.gov (Global: 133^rd place; English: 275^th place)

"Perception Concepts to Photo-Interpretation". www.cia.gov. Retrieved 2024-11-14.

doi.org (Global: 2^nd place; English: 2^nd place)

doi.org

Freund, Y.; Schapire, R. E. (1999). "Large margin classification using the perceptron algorithm" (PDF). Machine Learning. 37 (3): 277–296. doi:10.1023/A:1007662407062. S2CID 5885617.
Block, H. D. (1962-01-01). "The Perceptron: A Model for Brain Functioning. I". Reviews of Modern Physics. 34 (1): 123–135. Bibcode:1962RvMP...34..123B. doi:10.1103/RevModPhys.34.123. ISSN 0034-6861.
McCulloch, W; Pitts, W (1943). "A Logical Calculus of Ideas Immanent in Nervous Activity". Bulletin of Mathematical Biophysics. 5 (4): 115–133. doi:10.1007/BF02478259.
Rosenblatt, Frank (March 1960). "Perceptron Simulation Experiments". Proceedings of the IRE. 48 (3): 301–309. doi:10.1109/JRPROC.1960.287598. ISSN 0096-8390.
Jensen, G. O.; Dunning, D. E. (2026). "Assembling and Training the Perceptron: A Personal Account". IEEE Annals of the History of Computing. 48 (2): 62–65. doi:10.1109/MAHC.2026.3686038.
O’Connor, Jack (2022-06-21). "Undercover Algorithm: A Secret Chapter in the Early History of Artificial Intelligence and Satellite Imagery". International Journal of Intelligence and CounterIntelligence: 1–15. doi:10.1080/08850607.2022.2073542. ISSN 0885-0607. S2CID 249946000.
Rosenblatt, F. (1958). "The perceptron: A probabilistic model for information storage and organization in the brain". Psychological Review. 65 (6): 386–408. doi:10.1037/h0042519. ISSN 1939-1471. PMID 13602029.
Penn, Jonathan (2021-01-11). Inventing Intelligence: On the History of Complex Information Processing and Artificial Intelligence in the United States in the Mid-Twentieth Century (Thesis). [object Object]. doi:10.17863/cam.63087.
Guice, Jon (1998). "Controversy and the State: Lord ARPA and Intelligent Computing". Social Studies of Science. 28 (1): 103–138. doi:10.1177/030631298028001004. ISSN 0306-3127. JSTOR 285752. PMID 11619937.
Anderson, James A.; Rosenfeld, Edward, eds. (2000). Talking Nets: An Oral History of Neural Networks. The MIT Press. doi:10.7551/mitpress/6626.003.0004. ISBN 978-0-262-26715-1.
Olazaran, Mikel (1996). "A Sociological Study of the Official History of the Perceptrons Controversy". Social Studies of Science. 26 (3): 611–659. doi:10.1177/030631296026003005. JSTOR 285702. S2CID 16786738.
Irwin, Julia A. (2024-09-11). "Artificial Worlds and Perceptronic Objects: The CIA's Mid-century Automatic Target Recognition". Grey Room (97): 6–35. doi:10.1162/grey_a_00415. ISSN 1526-3819.
Nagy, George (March 1991). "Neural networks—then and now" (PDF). IEEE Transactions on Neural Networks. 2 (2): 316–318. doi:10.1109/72.80343. ISSN 1941-0093. PMID 18276386.
Cash, Sydney; Yuste, Rafael (1999). "Linear Summation of Excitatory Inputs by CA1 Pyramidal Neurons". Neuron. 22 (2): 383–394. doi:10.1016/S0896-6273(00)81098-3. PMID 10069343.
Cover, Thomas M. (June 1965). "Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition". IEEE Transactions on Electronic Computers. EC-14 (3): 326–334. doi:10.1109/PGEC.1965.264137. ISSN 0367-7508.
Šíma, Jiří; Orponen, Pekka (2003-12-01). "General-Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results". Neural Computation. 15 (12): 2727–2778. doi:10.1162/089976603322518731. ISSN 0899-7667. PMID 14629867.
Krauth, W.; Mezard, M. (1987). "Learning algorithms with optimal stability in neural networks". Journal of Physics A: Mathematical and General. 20 (11): L745–L752. Bibcode:1987JPhA...20L.745K. doi:10.1088/0305-4470/20/11/013.
Block, H. D.; Levin, S. A. (1970). "On the boundedness of an iterative procedure for solving a system of linear inequalities". Proceedings of the American Mathematical Society. 26 (2): 229–235. doi:10.1090/S0002-9939-1970-0265383-5. ISSN 0002-9939.
Wendemuth, A. (1995). "Learning the Unlearnable". Journal of Physics A: Mathematical and General. 28 (18): 5423–5436. Bibcode:1995JPhA...28.5423W. doi:10.1088/0305-4470/28/18/030.
Wendemuth, A. (1995). "Performance of robust training algorithms for neural networks". Journal of Physics A: Mathematical and General. 28 (19): 5485–5493. Bibcode:1995JPhA...28.5485W. doi:10.1088/0305-4470/28/19/006.
Anlauf, J. K.; Biehl, M. (1989). "The AdaTron: an Adaptive Perceptron algorithm". Europhysics Letters. 10 (7): 687–692. Bibcode:1989EL.....10..687A. doi:10.1209/0295-5075/10/7/014. S2CID 250773895.

dx.doi.org

Rosenblatt, F. (1958). "The perceptron: A probabilistic model for information storage and organization in the brain". Psychological Review. 65 (6): 386–408. doi:10.1037/h0042519. ISSN 1939-1471. PMID 13602029.

dtic.mil (Global: 934^th place; English: 530^th place)

apps.dtic.mil

Rosenblatt, Frank, and CORNELL UNIV ITHACA NY. Cognitive Systems Research Program. Technical report, Cornell University, 72, 1971.
Muerle, John Ludwig, and CORNELL AERONAUTICAL LAB INC BUFFALO NY. Project Para, Perceiving and Recognition Automata. Cornell Aeronautical Laboratory, Incorporated, 1963.
Hay, John Cameron (1960). Mark I perceptron operators' manual (Project PARA) / (PDF). Buffalo: Cornell Aeronautical Laboratory. Archived from the original (PDF) on 2023-10-27.
Barker, Trevor H. (1966-07-14). A Computer Program for Simulation of Perceptrons and Similar Neural Networks: Users' Manual (Technical Report). NONR 401 (40) and NSF GK-250. Ithaca, NY: Cornell University (published 1966).

jstor.org (Global: 23^rd place; English: 15^th place)

Guice, Jon (1998). "Controversy and the State: Lord ARPA and Intelligent Computing". Social Studies of Science. 28 (1): 103–138. doi:10.1177/030631298028001004. ISSN 0306-3127. JSTOR 285752. PMID 11619937.
Olazaran, Mikel (1996). "A Sociological Study of the Official History of the Perceptrons Controversy". Social Studies of Science. 26 (3): 611–659. doi:10.1177/030631296026003005. JSTOR 285702. S2CID 16786738.

mit.edu (Global: 476^th place; English: 340^th place)

direct.mit.edu

Anderson, James A.; Rosenfeld, Edward, eds. (2000). Talking Nets: An Oral History of Neural Networks. The MIT Press. doi:10.7551/mitpress/6626.003.0004. ISBN 978-0-262-26715-1.
Irwin, Julia A. (2024-09-11). "Artificial Worlds and Perceptronic Objects: The CIA's Mid-century Automatic Target Recognition". Grey Room (97): 6–35. doi:10.1162/grey_a_00415. ISSN 1526-3819.
Šíma, Jiří; Orponen, Pekka (2003-12-01). "General-Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results". Neural Computation. 15 (12): 2727–2778. doi:10.1162/089976603322518731. ISSN 0899-7667. PMID 14629867.

mitpress.mit.edu

Foundations of Machine Learning, MIT Press (Chapter 8).

openlearninglibrary.mit.edu

"Introduction to Machine Learning, Chapter 3: Perceptron". openlearninglibrary.mit.edu. Retrieved 2023-10-27.

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

pubmed.ncbi.nlm.nih.gov

Rosenblatt, F. (1958). "The perceptron: A probabilistic model for information storage and organization in the brain". Psychological Review. 65 (6): 386–408. doi:10.1037/h0042519. ISSN 1939-1471. PMID 13602029.
Guice, Jon (1998). "Controversy and the State: Lord ARPA and Intelligent Computing". Social Studies of Science. 28 (1): 103–138. doi:10.1177/030631298028001004. ISSN 0306-3127. JSTOR 285752. PMID 11619937.
Nagy, George (March 1991). "Neural networks—then and now" (PDF). IEEE Transactions on Neural Networks. 2 (2): 316–318. doi:10.1109/72.80343. ISSN 1941-0093. PMID 18276386.
Cash, Sydney; Yuste, Rafael (1999). "Linear Summation of Excitatory Inputs by CA1 Pyramidal Neurons". Neuron. 22 (2): 383–394. doi:10.1016/S0896-6273(00)81098-3. PMID 10069343.
Šíma, Jiří; Orponen, Pekka (2003-12-01). "General-Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results". Neural Computation. 15 (12): 2727–2778. doi:10.1162/089976603322518731. ISSN 0899-7667. PMID 14629867.

rpi.edu (Global: 8,709^th place; English: 5,445^th place)

sites.ecse.rpi.edu

Nagy, George (March 1991). "Neural networks—then and now" (PDF). IEEE Transactions on Neural Networks. 2 (2): 316–318. doi:10.1109/72.80343. ISSN 1941-0093. PMID 18276386.

semanticscholar.org (Global: 15^th place; English: 8^th place)

api.semanticscholar.org

Freund, Y.; Schapire, R. E. (1999). "Large margin classification using the perceptron algorithm" (PDF). Machine Learning. 37 (3): 277–296. doi:10.1023/A:1007662407062. S2CID 5885617.
O’Connor, Jack (2022-06-21). "Undercover Algorithm: A Secret Chapter in the Early History of Artificial Intelligence and Satellite Imagery". International Journal of Intelligence and CounterIntelligence: 1–15. doi:10.1080/08850607.2022.2073542. ISSN 0885-0607. S2CID 249946000.
Olazaran, Mikel (1996). "A Sociological Study of the Official History of the Perceptrons Controversy". Social Studies of Science. 26 (3): 611–659. doi:10.1177/030631296026003005. JSTOR 285702. S2CID 16786738.
Anlauf, J. K.; Biehl, M. (1989). "The AdaTron: an Adaptive Perceptron algorithm". Europhysics Letters. 10 (7): 687–692. Bibcode:1989EL.....10..687A. doi:10.1209/0295-5075/10/7/014. S2CID 250773895.

si.edu (Global: 256^th place; English: 197^th place)

americanhistory.si.edu

"Perceptron, Mark I". National Museum of American History. Retrieved 2023-10-30.

tandfonline.com (Global: 286^th place; English: 209^th place)

O’Connor, Jack (2022-06-21). "Undercover Algorithm: A Secret Chapter in the Early History of Artificial Intelligence and Satellite Imagery". International Journal of Intelligence and CounterIntelligence: 1–15. doi:10.1080/08850607.2022.2073542. ISSN 0885-0607. S2CID 249946000.

ucsd.edu (Global: 2,146^th place; English: 1,364^th place)

cseweb.ucsd.edu

Freund, Y.; Schapire, R. E. (1999). "Large margin classification using the perceptron algorithm" (PDF). Machine Learning. 37 (3): 277–296. doi:10.1023/A:1007662407062. S2CID 5885617.

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

Hay, John Cameron (1960). Mark I perceptron operators' manual (Project PARA) / (PDF). Buffalo: Cornell Aeronautical Laboratory. Archived from the original (PDF) on 2023-10-27.
Rosenblatt, Frank (1962). “A Description of the Tobermory Perceptron.” Cognitive Research Program. Report No. 4. Collected Technical Papers, Vol. 2. Edited by Frank Rosenblatt. Ithaca, NY: Cornell University.
Nagy, George. 1963. System and circuit designs for the Tobermory perceptron. Technical report number 5, Cognitive Systems Research Program, Cornell University, Ithaca New York.

worldcat.org (Global: 4^th place; English: 4^th place)

search.worldcat.org

Block, H. D. (1962-01-01). "The Perceptron: A Model for Brain Functioning. I". Reviews of Modern Physics. 34 (1): 123–135. Bibcode:1962RvMP...34..123B. doi:10.1103/RevModPhys.34.123. ISSN 0034-6861.
Rosenblatt, Frank (March 1960). "Perceptron Simulation Experiments". Proceedings of the IRE. 48 (3): 301–309. doi:10.1109/JRPROC.1960.287598. ISSN 0096-8390.
O’Connor, Jack (2022-06-21). "Undercover Algorithm: A Secret Chapter in the Early History of Artificial Intelligence and Satellite Imagery". International Journal of Intelligence and CounterIntelligence: 1–15. doi:10.1080/08850607.2022.2073542. ISSN 0885-0607. S2CID 249946000.
Rosenblatt, F. (1958). "The perceptron: A probabilistic model for information storage and organization in the brain". Psychological Review. 65 (6): 386–408. doi:10.1037/h0042519. ISSN 1939-1471. PMID 13602029.
Guice, Jon (1998). "Controversy and the State: Lord ARPA and Intelligent Computing". Social Studies of Science. 28 (1): 103–138. doi:10.1177/030631298028001004. ISSN 0306-3127. JSTOR 285752. PMID 11619937.
Irwin, Julia A. (2024-09-11). "Artificial Worlds and Perceptronic Objects: The CIA's Mid-century Automatic Target Recognition". Grey Room (97): 6–35. doi:10.1162/grey_a_00415. ISSN 1526-3819.
Nagy, George (March 1991). "Neural networks—then and now" (PDF). IEEE Transactions on Neural Networks. 2 (2): 316–318. doi:10.1109/72.80343. ISSN 1941-0093. PMID 18276386.
Cover, Thomas M. (June 1965). "Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition". IEEE Transactions on Electronic Computers. EC-14 (3): 326–334. doi:10.1109/PGEC.1965.264137. ISSN 0367-7508.
Šíma, Jiří; Orponen, Pekka (2003-12-01). "General-Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results". Neural Computation. 15 (12): 2727–2778. doi:10.1162/089976603322518731. ISSN 0899-7667. PMID 14629867.
Block, H. D.; Levin, S. A. (1970). "On the boundedness of an iterative procedure for solving a system of linear inequalities". Proceedings of the American Mathematical Society. 26 (2): 229–235. doi:10.1090/S0002-9939-1970-0265383-5. ISSN 0002-9939.

Perceptron (English Wikipedia)

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aps.org (Global: 1,264^th place; English: 951^st place)

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

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cam.ac.uk (Global: 569^th place; English: 354^th place)

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doi.org (Global: 2^nd place; English: 2^nd place)

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mit.edu (Global: 476^th place; English: 340^th place)

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rpi.edu (Global: 8,709^th place; English: 5,445^th place)

semanticscholar.org (Global: 15^th place; English: 8^th place)

si.edu (Global: 256^th place; English: 197^th place)

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