Detection of anthelmintics resistant nematodes in sheep flocks using artificial neural networks

Authors:
Ali Rahnamaei;Naser Pariz;Adel Akbarimajd
Affiliations:
Islamic Azad University, South Tehran Branch, Tehran, Iran;Departmant of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran;Islamic Azad University, Ardabil, Iran
Venue:
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Year:
2006

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Abstract

Anthelmintic resistance is an important problem in most sheep-producing countries of the world. Studies in this field are performed by clinical tests. Identification of anthelmintic resistant nematodes without clinical test can help farmers to save money and time; on the other hand it can help them to avoid inefficient treatment and probable outcomes. In this study a multilayered neural network has been proposed to detect anthelmintics resistance nematodes in sheep flocks.