Журнал «Современная Наука»

Russian (CIS)English (United Kingdom)
 MOSCOW +7(495)-142-86-81

Development of a neural network model for diagnosing diseases gastrointestinal tract in dogs

Tolstova Elizaveta Antonovna  (Saratov State Agrarian University, Saratov)

Ormeli Alexander Fedorovich  (Saratov State Technical University, Saratov)

Bolshelapov Mikhail Alexandrovich  (Saratov State Technical University, Saratov)

Selyutin Alexander Dmitrievich  (Saratov State Technical University, Saratov)

The article provides a solution to the problem of diagnosing diseases of the gastrointestinal tract in dogs. This task is relevant for expert veterinarians. To solve this problem, a neural network model of a multi-layer perceptron was developed, which allows classifying diseases depending on incoming input parameters, and a web interface was created for the trained model. The developed interface allows you to interact with the system in the most comfortable way. Object: development of a multi-layer perceptron neural network model for classification of diseases of the gastrointestinal tract in dogs. Methods: general theoretical - analysis of special literature, study of statistical data; mathematical - network modeling, programming, visualization. Findings: a system for diagnosing diseases of the gastrointestinal tract in dogs was developed. The system has a user-friendly web interface. Conclusions: the developed system can be used by veterinarians when there are difficulties in diagnosing a specific disease of the gastrointestinal tract in dogs.

Keywords:gastritis, pancreatitis, stomach ulcer, Flask, multi-layer perceptron
 

Read the full article …

Citation link:
Tolstova E. A., Ormeli A. F., Bolshelapov M. A., Selyutin A. D. Development of a neural network model for diagnosing diseases gastrointestinal tract in dogs // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2020. -№12. -С. 132-135 DOI 10.37882/2223-2966.2020.12.36
LEGAL INFORMATION:
Reproduction of materials is permitted only for non-commercial purposes with reference to the original publication. Protected by the laws of the Russian Federation. Any violations of the law are prosecuted.
© ООО "Научные технологии"

Terms Publications

Issues of the journals (Archive)

ECONOMICS AND LAW
HUMANITIES
NATURAL AND TECHNICAL SCIENCES
COGNITION

Серия - Natural and Technical Sciences