DOI: https://doi.org/10.22263/2312-4156.2017.6.125
Borisevich M.N.
Computer neuroimitator of internal noncontagious diseases of animals
Vitebsk State Awarded the «Badge of Honour» Order Veterinary Medicine Academy, Vitebsk, Republic of Belarus
Vestnik VGMU. 2017;16(6):125-130.
Abstract.
The purpose of this article is a brief description of neuroimitator of internal noncontagious diseases of animals that is a part of computer software and analytical complex for remote diagnosis of neural network created in the Vitebsk Academy of Veterinary Medicine and operating on the basis of modern telecommunication and neural network technologies.
Research method is object-oriented programming of multi-module neural networks of variable structure with serial communications.
The results of the study are the current software module of neuroimitator of internal noncontagious diseases of animals.
The studies performed have shown the possibility of using neural network technology for solving diagnostic problems in live-stock breeding (for example, the diagnosis of the pericardium inflammation in small animals). The network has demonstrated high accuracy in detection of the pericardium inflammation, and has given only 2 cases of false alarm. In this connection, we can conclude that the use of neural network approaches allows to significantly improve the diagnostic process in live-stock farming, markedly increasing the sensitivity of existing methods and algorithms.
Key words: neural networks, neuroimitator, computer, neural network and computer technologies.
References
1. Komartsova LG, Maksimov AV. Neurocomputers. Moscow, RF: Izd-vo MGTU im ME Baumana; 2004. 400 р. (In Russ.)
2. Galushkin AI. Neural networks: theory bases. Moscow, RF: Goriachaia liniia - Telekom; 2012. 480 р. (In Russ.)
3. Tarkhov DA. Neural networks: models and algorithms. Moscow, RF: Radiotekhnika; 2005. 256 р. (In Russ.)
4. Borisevich MN. Automation of technological processes in veterinary medicine. Vitebsk, RB: VGAVM; 2006. 248 р. (In Russ.)
5. Borisevich MN. Information technologies in veterinary medicine. Vitebsk, RB: VGAVM; 2007. 548 р. (In Russ.)
6. Borisevich MN. Automation of distant diagnosis of a disease of animals. Tekhnika Sel Khoz-ve. 2006;(6):14-6. (In Russ.)
7. Borisevich MN. Communications system on collection and processing of information in veterinary science. Vestn Ros Akad. S-Kh Nauk. 2004;(5):17-8. (In Russ.)
8. Ezhov AA, Shumskiy SA. Neurocomputing and its applications in economy and business. Moscow, RF: MIFI; 1998. 222 р. (In Russ.)
9. Khaykin S. Neural networks: full course. 2-e izd. Moscow, RF: Vil'iams; 2006. 1104 р. (In Russ.)
10. Kosko, B. Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence. New Jersey, USA; 1992.
11. Golovko VA. Neural networks: training, organization and application: ucheb posobie dlia vuzov. Kn 4. Moscow, RF: Radiotekhnika; 2001. 256 р. (In Russ.)
12. Yakh''yaeva GE. Bases of the theory of neural networks. Moscow, RF: Internet-Universitet Informatsionnykh Tekhnologii; BINOM. Laboratoriia znanii; 2006. 316 р. (In Russ.)
13. Kruglov VV, Dli MI, Golunov RYu. Fuzzy logic and artificial neural networks: ucheb posobie. Moskva, RF: Fizmatlit; 2001. 224 р. (In Russ.)
Information about authors:
Borisevich M.N. – Candidate of Physicomathematical Sciences, associate professor, head of the Chair of Computer Education, Vitebsk State Awarded the «Badge of Honour» Order Veterinary Medicine Academy.
Correspondence address: Republic of Belarus, 210026, Vitebsk, 7/11 the 1st Dovator str., Vitebsk State Awarded the «Badge of Honour» Order Veterinary Medicine Academy, Chair of Computer Education. E-mail: Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра. – Mikhail N. Borisevich.
