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

التفاصيل البيبلوغرافية
العنوان: FPGA implementation of an ANN for detection of anthelmintics resistant nematodes in sheep flocks
المؤلفون: Ali Rahnamaei, Adel Akbarimajd, Naser Pariz
المصدر: 2009 4th IEEE Conference on Industrial Electronics and Applications.
بيانات النشر: IEEE, 2009.
سنة النشر: 2009
مصطلحات موضوعية: Engineering, Artificial neural network, business.industry, Machine learning, computer.software_genre, Sheep flock, Parallel processing (DSP implementation), Multi layer perceptron neural network, Pattern recognition (psychology), Flock, Artificial intelligence, business, Field-programmable gate array, computer, Computer hardware, Multilayer perceptron neural network
الوصف: 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.
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::d5fc4a124f669ddbaabe35798e96a5f1Test
https://doi.org/10.1109/iciea.2009.5138533Test
رقم الانضمام: edsair.doi...........d5fc4a124f669ddbaabe35798e96a5f1
قاعدة البيانات: OpenAIRE