Editing Perceptron (section)

==Further reading==
* Aizerman, M. A. and Braverman, E. M. and Lev I. Rozonoer. Theoretical foundations of the potential function method in pattern recognition learning. Automation and Remote Control, 25:821–837, 1964.
* [[Frank Rosenblatt|Rosenblatt, Frank]] (1958), The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain, Cornell Aeronautical Laboratory, Psychological Review, v65, No. 6, pp.&nbsp;386–408. {{doi|10.1037/h0042519}}.
* [[Frank Rosenblatt|Rosenblatt, Frank]] (1962), Principles of Neurodynamics. Washington, DC: Spartan Books.
* [[Marvin Minsky|Minsky, M. L.]] and Papert, S. A. 1969. ''Perceptrons''. Cambridge, MA: MIT Press.
* Gallant, S. I. (1990). [https://ieeexplore.ieee.org/document/80230/;jsessionid=EA330364D3E5FFD7513BE8789467267E?arnumber=80230 Perceptron-based learning algorithms.] IEEE Transactions on Neural Networks, vol. 1, no. 2, pp.&nbsp;179–191.
* Olazaran Rodriguez, Jose Miguel. ''[https://web.archive.org/web/20221111165150/https://era.ed.ac.uk/bitstream/handle/1842/20075/Olazaran-RodriguezJM_1991redux.pdf?sequence=1&isAllowed=y A historical sociology of neural network research]''. PhD Dissertation. University of Edinburgh, 1991.
* Mohri, Mehryar and Rostamizadeh, Afshin (2013). [https://arxiv.org/abs/1305.0208 Perceptron Mistake Bounds] arXiv:1305.0208, 2013.
* Novikoff, A. B. (1962). On convergence proofs on perceptrons. Symposium on the Mathematical Theory of Automata, 12, 615–622. Polytechnic Institute of Brooklyn.
* [[Bernard Widrow|Widrow, B.]], Lehr, M.A., "[http://www.inf.ufrgs.br/~engel/data/media/file/cmp121/widrow.pdf 30 years of Adaptive Neural Networks: Perceptron, Madaline, and Backpropagation]," ''Proc. IEEE'', vol 78, no 9, pp.&nbsp;1415–1442, (1990).
* [[Michael Collins (computational linguist)|Collins, M.]] 2002. [https://www.aclweb.org/anthology/W02-1001 Discriminative training methods for hidden Markov models: Theory and experiments with the perceptron algorithm] in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP '02).
* Yin, Hongfeng (1996), Perceptron-Based Algorithms and Analysis, Spectrum Library, Concordia University, Canada