Title :
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
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;
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
DOI :
10.1109/ICIEA.2009.5138533
