Progressive trends on the application of artificial neural networks in animal sciences - A review

Bauer Ea
Additional contact information
Bauer Ea: Department of Animal Reproduction, Anatomy and Genomics, University of Agriculture in Krakow, Krakow, Poland

Veterinární medicína, 2022, vol. 67, issue 5, 219-230

Abstract: In recent years, artificial neural networks have become the subject of intensive research in a number of scientific areas. The high performance and operational speed of neural models open up a wide spectrum of applications in various areas of life sciences. Objectives pursued by many scientists, who use neural modelling in their research, focus - among others - on intensifying real-time calculations. This study shows the possibility of using Multilayer-Perceptron (MLP) and Radial Basis Function (RBF) models of artificial neural networks for the future development of new methods for animal science. The process should be explained explicitly to make the MLP and RBF models more readily accepted by more researchers. This study describes and recommends certain models as well as uses forecasting methods, which are represented by the chosen neural network topologies, in particular MLP and RBF models for more successful operations in the field of animals sciences.

Keywords: livestock animal science; machine learning; machine models (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://vetmed.agriculturejournals.cz/doi/10.17221/45/2021-VETMED.html (text/html)
http://vetmed.agriculturejournals.cz/doi/10.17221/45/2021-VETMED.pdf (application/pdf)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlvet:v:67:y:2022:i:5:id:45-2021-vetmed

DOI: 10.17221/45/2021-VETMED

Access Statistics for this article

Veterinární medicína is currently edited by Ing. Helena Smolová Ph.D.

More articles in Veterinární medicína from Czech Academy of Agricultural Sciences
Bibliographic data for series maintained by Ivo Andrle ().