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Title of Article

CLASSIFICATION OF BIOCENOSIS STATES BASED ON NEURAL NETWORK TECHNOLOGIES


Issue
3
Date
2014

Section
INFORMATION TECHNOLOGIES

Article type
scientific article
UDC
04.032.26
Pages
134-138
Keywords
classification, dysbiosis, diagnostics, perceptron, neural network.


Authors
Lomakina L.S.
Nizhegorodskiy gosudarstvennyy tekhnicheskiy universitet im. R.E. Alekseeva

Pozhidaeva A.S.
Nizhegorodskiy gosudarstvennyy tekhnicheskiy universitet im. R.E. Alekseeva

Gubernatorov Ya.P.
Nizhegorodskiy gosudarstvennyy tekhnicheskiy universitet im. R.E. Alekseeva


Abstract
Classification of microflora states of the human gastrointestinal tract (GI tract) for dysbiosis diagnostics is considered. An artificial neural network built by a three-layer perceptron architecture is used as a classifier.

File (in Russian)