Handwritten characters recognition using modification of classic Rosenblatt’s perceptron extended with multiple S-layers

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dc.citation.conferenceLitteris et Artibus
dc.contributor.affiliationLviv Polytechnic National Universityuk_UA
dc.contributor.authorSerdyuk, Pavlo
dc.contributor.authorMosiiuk, Vasyl
dc.coverage.countryUAuk_UA
dc.coverage.placenameLvivuk_UA
dc.date.accessioned2018-04-10T08:33:19Z
dc.date.available2018-04-10T08:33:19Z
dc.date.issued2016
dc.description.abstractPresented structure and principles of perceptron with multiple sensor layers. Demonstrated how it recognize character image and vote for result.uk_UA
dc.format.pages41-42
dc.identifier.citationSerdyuk P. Handwritten characters recognition using modification of classic Rosenblatt’s perceptron extended with multiple S-layers / Pavlo Serdyuk, Vasyl Mosiiuk // Litteris et Artibus : proceedings of the 6th International youth science forum, November 24–26, 2016, Lviv, Ukraine / Lviv Polytechnic National University. – Lviv : Lviv Polytechnic Publishing House, 2016. – P. 41–42. – Bibliography: 6 titles.uk_UA
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/40244
dc.language.isoenuk_UA
dc.publisherLviv Polytechnic Publishing Houseuk_UA
dc.relation.referencesen[1] [F. Rosenblatt, "Principles of Neurodynamic" Spartan Books, Washington, DC, 1962. [2] [M. L. Minsky, "Perceptrons" MIT Press, Cambridge, MA, 1969. [3] [S. I. Gallant, "Perceptron-based learning algorithms" IEEE Transactions on Neural Networks, vol. 1, no. 2, pp. 179–191, 1990. [4] [Y. Hongfeng, "Perceptron-Based Algorithms and Analysis" Spectrum Library, Concordia University, Canada, 1996. [5] M. D. Estebon, "Perceptrons: An Associative Learning Network" Virginia Tech, 1997. [6] J. E. Dayhoff, " Neural Network Architecturs: An introduction" Van Nostrand Reinhold, Australia, 19970.uk_UA
dc.subjectcomputer visionuk_UA
dc.subjectCVuk_UA
dc.subjectperceptronuk_UA
dc.subjectOCRuk_UA
dc.subjectmachine learninguk_UA
dc.subjecthandwritten charactersuk_UA
dc.titleHandwritten characters recognition using modification of classic Rosenblatt’s perceptron extended with multiple S-layersuk_UA
dc.typeConference Abstractuk_UA

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Litteris et Artibus. – 2016 р.