ЭЛЕКТРОННЫЙ НАУЧНЫЙ ЖУРНАЛ "МОЛОДАЯ НАУКА СИБИРИ"

USING A MULTIPARAMETER NEURAL NETWORK TO GENERATE INTERVAL ESTIMATES OF DATA

Авторы: 
Дата поступления: 
12.05.2021
Библиографическое описание статьи: 

Berdnikov V. M., Abasova N. I., Petruhina V. A. Ispolzovanie mnogoparametricheskoi neironnoy seti dlya formirovaniya intervalnich otsenok dannyh [Using a multiparameter neural network to generate interval estimates of data]. Molodaya nauka Sibiri: ehlektronnyj nauchnyj zhurnal [Young science of Siberia: electronic scientific journal], 2021, no. 1. [Accessed 24/05/21]

Рубрика: 
Год: 
2021
Номер журнала (Том): 
УДК: 
004.032.26
Файл статьи: 
Аннотация: 

The article discusses the practical application of a neural network for hydropower and water management systems. Various models of neural networks, their advantages and disadvantages for a specific subject area are analyzed. The work of a multiparameter neural network is described using practical examples, in particular, the formation of interval estimates in a hydroelectric power station reservoir

Список цитируемой литературы: 
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