Architecture of memory blocks for hardware implementation of partially parallel fuzzy ART neural network

dc.citation.conferenceXXVI Міжнародна українсько-польська науково-технічна конференція “САПР у проектуванні машин. Задачі впровадження та навчання”
dc.citation.epage47
dc.citation.journalTitleСАПР у проектуванні машин. Задачі впровадження та навчання : матеріали XXVI Міжнародної українсько-польської науково-технічної конференції
dc.citation.spage42
dc.contributor.affiliationNational University of Water and Environmental Engineering
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorShatnyi, Serhii
dc.contributor.authorTymoshchuk, Pavlo
dc.coverage.placenameЛьвів
dc.coverage.temporal19-20 жовтня 2018 року, Львів
dc.date.accessioned2019-06-24T14:06:55Z
dc.date.available2019-06-24T14:06:55Z
dc.date.created2018-10-19
dc.date.issued2018-10-19
dc.format.extent42-47
dc.format.pages6
dc.identifier.citationShatnyi S. Architecture of memory blocks for hardware implementation of partially parallel fuzzy ART neural network / Serhii Shatnyi, Pavlo Tymoshchuk // САПР у проектуванні машин. Задачі впровадження та навчання : матеріали XXVI Міжнародної українсько-польської науково-технічної конференції, 19-20 жовтня 2018 року, Львів. — Львів : Видавництво Львівської політехніки, 2018. — С. 42–47.
dc.identifier.citationenShatnyi S. Architecture of memory blocks for hardware implementation of partially parallel fuzzy ART neural network / Serhii Shatnyi, Pavlo Tymoshchuk // SAPR u proektuvanni mashyn. Zadachi vprovadzhennia ta navchannia : materialy XXVI Mizhnarodnoi ukrainsko-polskoi naukovo-tekhnichnoi konferentsii, 19-20 zhovtnia 2018 roku, Lviv. — Lviv : Vydavnytstvo Lvivskoi politekhniky, 2018. — P. 42–47.
dc.identifier.isbn978-966-941-229-4
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/45216
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.relation.ispartofСАПР у проектуванні машин. Задачі впровадження та навчання : матеріали XXVI Міжнародної українсько-польської науково-технічної конференції, 2018
dc.relation.references[1] S. Grossberg, "Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world," Neural Networks, vol. 37, pp. 1-47, Jan. 2013.
dc.relation.references[2] M. Martinez-Zarzuela, F. Pernas, J. Higuera, M. Rodriguez, "Fuzzy ART neural network parallel computing on the GPU," in Proc. Int. Work-Conf. on Artificial Neural Networks, Jun. 20, 2007, pp. 463-470.
dc.relation.references[3] Serhii Shatnyi, Pavlo Tymoshchuk, "Simulation of sequential and partially parallel Fuzzy ART neural network," in Proc. 14th Int. Conf. “The Experience of Designing and Application of CAD Systems in Microelectronics”, Feb. 21-25, 2017, pp. 372 – 374.
dc.relation.references[4] T. Serrano-Gotarredona and B. Linares-Barranco, "A modified ART 1 algorithm more suitable for VLSI implementations," Neural Networks,vol. 9, no. 6, , Aug. 1996. pp.1025-1043.
dc.relation.references[5] P. V. Tymoshchuk, S. V. Shatnyi, "Hardware implementation design of partially parallel clustering system based on Fuzzy ART using LabVIEW," in Proc. XXIVth Int. Ukrainian-Polish Conf. “CAD in Machinery Design. Implementations and Educational Issues, L’viv, Ukraine, Oct. 21-22, 2016, pp. 29-30.
dc.relation.references[6] S. Shatnyi and P. Tymoshchuk, "Simulation of electrocardiogram processing and analysis using Fuzzy ART," Computer Systems of Design. Theory and Practice, No 882, pp. 70-75, 2017.
dc.relation.referencesen[1] S. Grossberg, "Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world," Neural Networks, vol. 37, pp. 1-47, Jan. 2013.
dc.relation.referencesen[2] M. Martinez-Zarzuela, F. Pernas, J. Higuera, M. Rodriguez, "Fuzzy ART neural network parallel computing on the GPU," in Proc. Int. Work-Conf. on Artificial Neural Networks, Jun. 20, 2007, pp. 463-470.
dc.relation.referencesen[3] Serhii Shatnyi, Pavlo Tymoshchuk, "Simulation of sequential and partially parallel Fuzzy ART neural network," in Proc. 14th Int. Conf. "The Experience of Designing and Application of CAD Systems in Microelectronics", Feb. 21-25, 2017, pp. 372 – 374.
dc.relation.referencesen[4] T. Serrano-Gotarredona and B. Linares-Barranco, "A modified ART 1 algorithm more suitable for VLSI implementations," Neural Networks,vol. 9, no. 6, , Aug. 1996. pp.1025-1043.
dc.relation.referencesen[5] P. V. Tymoshchuk, S. V. Shatnyi, "Hardware implementation design of partially parallel clustering system based on Fuzzy ART using LabVIEW," in Proc. XXIVth Int. Ukrainian-Polish Conf. "CAD in Machinery Design. Implementations and Educational Issues, L’viv, Ukraine, Oct. 21-22, 2016, pp. 29-30.
dc.relation.referencesen[6] S. Shatnyi and P. Tymoshchuk, "Simulation of electrocardiogram processing and analysis using Fuzzy ART," Computer Systems of Design. Theory and Practice, No 882, pp. 70-75, 2017.
dc.rights.holder© Національний університет «Львівська політехніка», 2018
dc.titleArchitecture of memory blocks for hardware implementation of partially parallel fuzzy ART neural network
dc.typeConference Abstract

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