FPGA implementation of an ANN for detection of anthelmintics resistant nematodes in sheep flocks

Author

Rahnamaei, Ali ; Pariz, Naser ; Akbarimajd, Adel

Author_Institution

Moghan Branch, Islamic Azad Univ., Parsabad, Iran

fYear

2009

fDate

25-27 May 2009

Firstpage

1899

Lastpage

1904

Abstract

FPGA implementation of artificial neural networks has been an active research line in past years. ANNs because of their high capabilities in pattern recognition, classification and parallel processing are extensively used in several fields. In this paper, a new method to FPGA implementation of a multi layer perceptron neural network is introduced. The obtained network is used to install a hardware system in order to detection anthelmintics resistant nematodes in sheep flocks. The implemented method results in a low-cost and flexible circuit.

Keywords

field programmable gate arrays; medical computing; multilayer perceptrons; FPGA; anthelmintics resistant nematode detection; artificial neural network; hardware system; multilayer perceptron neural network; parallel processing; pattern classification; pattern recognition; sheep flock; Artificial neural networks; Field programmable gate arrays; Flexible printed circuits; Neural network hardware; Neural networks; Parallel processing; Pattern recognition; Resistance; Testing; Very large scale integration; Artificial neural networks; FPGA implementation; Veterinary diagnostic;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4244-2799-4

Electronic_ISBN

978-1-4244-2800-7

Type

conf

DOI

10.1109/ICIEA.2009.5138533

Filename

5138533