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Implementation of a modular neural network in a multiple processor system on FPGA to classify electric disturbance

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4 Author(s)
Danniel C. Lopes ; UFERSA - University Federal of Semi Árido, Mossoró, Rn Brasil ; Rafael M. Magalhães ; Jorge D. Melo ; Adrião D. Dória Neto

This paper shows the effectiveness of a modular neural network composed of multilayers experts trained with a hybrid algorithm implemented in a multiprocessor system on chip. The network is applied on the classification of electric disturbances. The objective is to show that, even a FPGA with hardware restrictions, it could be used to implement a complex problem, when parallel processing is used. To improve the system performance was used four soft processors with a shared memory.

Published in:

Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE

Date of Conference:

3-5 Nov. 2009