6 апрел 2024
2Asosiy til:O'zbek
NEYRON TARMOQLARNI BOSHQARISH TIZIMLARIGA MAVJUD YONDASHUVLARNI KO'RIB CHIQISH
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6610ea84e39af.pdf
MAQOLA ANNOTATSIYASI
Maqolada formal neyron tarmoq algoritmlarini apparatni tezlashtirishning mavjud yondashuvlari ko'rib chiqiladi, bu esa ishlash va energiya iste'moli nuqtai nazaridan ushbu muammolarni hal qilishning eng istiqbolli vositalari sinaptik birikmalar sifatida memristor tuzilmalari bilan ixtisoslashgan arxitektura yechimlari ekanligini ko'rsatadi..
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Teglar
# нейронная сеть# neural network# neyron tarmoq# hisoblash tizimlari# grafik ishlov berish# вычислительные системы# обработка графики# computing systems# processing graphic
Maqolani baholang
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Maqola idintifikatorlari
DOI:
Mavjud emas
Foydalanilgan adabiyotlar
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Mead C. Neuromorphic Electronic Systems Proceedings of the IEEE 1990. vol. 78. P. 1629–1636.
Chiang M. L., Lu T. G., Kuo J. B. Analogue adaptive neural network circuit // IEE Proceedings, Part G Circuits, Devices Syst. 1991. Vol. 138. P. 717–723.
Burr J. B. Digital Neural Network Implementations 1 Introduction 2 Classifying VLSI implementations // Neural networks, concepts, Appl. implementations. 1995. P. 1–48.
Monroe D. Neuromorphic computing gets ready for the (really) big time // Commun. ACM. 2014. Vol. 57. P. 13–15.
Nickolls J., Dally W. J. The GPU computing era // IEEE Micro. 2010. Vol. 30. P. 56–69.