THE ELECTRONIC SCIENTIFIC JOURNAL "YOUNG SCIENCE OF SIBERIA"

USING A MULTIPARAMETER NEURAL NETWORK TO GENERATE INTERVAL ESTIMATES OF DATA

Authors: 
Receipt date: 
12.05.2021
Bibliographic description of the article: 

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]

Year: 
2021
Journal number: 
УДК: 
004.032.26
Article File: 
Abstract: 

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

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