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License: CC BY
Data sources: UnpayWall
https://doi.org/10.21661/r-471...
Article . 2018 . Peer-reviewed
Data sources: Crossref
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Primenenie metodov vizual'nogo modelirovaniia i programmirovaniia v obrazovatel'nom protsesse po distsipline "Neironnye seti"

Применение методов визуального моделирования и программирования в образовательном процессе по дисциплине «Нейронные сети»
Authors: Oleg B. Butusov; FSBEI of HE «Moscow Polytechnic University»; Anna A. Dzhulai; FSBEI of HE «Moscow Polytechnic University»;

Primenenie metodov vizual'nogo modelirovaniia i programmirovaniia v obrazovatel'nom protsesse po distsipline "Neironnye seti"

Abstract

С помощью средств визуального моделирования в среде Matlab-Simulink разработана компьютерная модель вероятностной нейронной сети, предназначенной для классификации данных на два класса. Показано, что использование средств визуального моделирования сложных систем из отдельных блоков имеет наглядный характер, что важно для обеспечения эффективности образовательного процесса по дисциплине «Нейронные сети». Методы визуального конструирования и программирования являются также перспективными для преподавания других математических и технических дисциплин.

Keywords

визуальное моделирование, преподавание, эталонные векторы, нейронные сети, нейрон Гаусса, метрика Евклида, среда Matlab-Simulink, базовые блоки

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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