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001-es BibID:	BIBFORM103818
035-os BibID:	(Scopus)85107885526 (Cikkazonosító)169351
Első szerző:	Varga Mátyás
Cím:	Neuron Network Model in the Study of Smart City Ideas / Mátyás Varga, Bence Soltész, Norbert Béla Fiedler, Anikó Apró, Balázs Borsos, Gábor Kiss, Zoltán A. Godó
Dátum:	2021
ISSN:	1613-0073
Megjegyzések:	With neural networks, computer science has made tremendous progress in the field of artificial intelligence. The breakthrough is provided by the closest possible analogy with the living nervous system, as it provides the most efficient processing of real-world data. In our work, we are looking for an even closer analogy with the living nervous system by building a neural network. We build the network hardware and emulate the nodes with multiprocessors. We implement actual concurrency, real-time task runs. We enable communication with both analog and digital features, thus mimicking the operation of natural systems. A unique interpreter at the nodes of the neural network provides controllable stream signal processing. Thus, the system is able to receive and process any data stream. By implementing cascade programming, the interpreter can also be developed. That is, the entire control language can be replaced according to the desired task. The system is not only suitable for Smart City or traffic modeling, but also for direct neuroinformatics or didactic research.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok előadáskivonat könyvrészlet Smart City neuron-network massively parallel system
Megjelenés:	Proceedings of the 1st Conference on Information Technology and Data Science / ed. István Fazekas, András Hajdu, Tibor Tómács. - p. 270-278. -
További szerzők:	Soltész Bence Fiedler Norbert Béla Apró Anikó (1993-) (programtervező informatikus) Borsos Balázs Kiss Gábor (1986-) (informatikus) Godó Zoltán (1972-) (biológus, informatikus)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat Szerző által megadott URL
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