Neural network application for predictive modeling

The article analyzes the approaches to the construction of predictive models based on the apparatus of artificial neural networks, in particular, the method of back propagation of errors by iterative adjustment of weight coefficients.

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Bibliographic Details
Published inIOP conference series. Materials Science and Engineering Vol. 905; no. 1; pp. 12069 - 12076
Main Authors Tokarev, K E, Orlova, Yu A, Rogachev, A F, Rudenko, A Yu, Protsyuk, M P
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.08.2020
Subjects
Artificial neural networks
Back propagation networks
Iterative methods
Neural networks
Prediction models
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ISSN1757-8981
1757-899X
DOI10.1088/1757-899X/905/1/012069

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Summary:The article analyzes the approaches to the construction of predictive models based on the apparatus of artificial neural networks, in particular, the method of back propagation of errors by iterative adjustment of weight coefficients.
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ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/905/1/012069