logo
calendar6 Aprel 2024
view27
Main language:Uzbek

OVERVIEW OF EXISTING APPROACHES OF NEURAL NETWORK CONTROL SYSTEMS

Field of Science:
pdf

6610ea84e39af.pdf

PDF

Ilg’or texnologiyalar va tabiiy fanlar xalqaro jurnali

Ilg’or texnologiyalar va tabiiy fanlar xalqaro jurnali

Publish Articlesee more

ARTICLE ANNOTATION

quote
The article discusses existing approaches to hardware acceleration of formal neural network algorithms, which shows that the most promising means for solving this range of problems in terms of performance and energy consumption are specialized architectural solutions with memristor structures as synaptic connections.

AUTHORS

SH.Murodullayeva

Navoiy davlat konchilik va texnologiyalar universiteti

O.Sattorov

Navoiy davlat konchilik va texnologiyalar universiteti

Tags

# нейронная сеть# neural network# neyron tarmoq# hisoblash tizimlari# grafik ishlov berish# вычислительные системы# обработка графики# computing systems# processing graphic

OTHER ARTICLES IN THIS JOURNAL

Rate Article

0
0 ratings
5
4
3
2
1

Article Identifiers

ROI:

https://eroi.uz/11.0178/A0424-0100

DOI:

Not Available

References

Sejnowski T. J. The Computer and the Brain Revisited // IEEE Ann. Hist. Comput. 1989. Vol. 11. P. 197–201

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.