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FPL
2004
Springer

Artificial Neural Networks Processor - A Hardware Implementation Using a FPGA

13 years 12 months ago
Artificial Neural Networks Processor - A Hardware Implementation Using a FPGA
Several implementations of Artificial Neural Networks have been reported in scientific papers. Nevertheless, these implementations do not allow the direct use of off-line trained networks because of the much lower precision when compared with the software solutions where they are prepared or modifications in the activation function. In the present work a hardware solution called Artificial Neural Network Processor, using a FPGA, fits the requirements for a direct implementation of Feedforward Neural Networks, because of the high resolution and accurate activation function that were obtained. The resulting hardware solution is tested with data from a real system to confirm that it can correctly implement the models prepared off-line with MATLAB.
Pedro Ferreira, Pedro Ribeiro, Ana Antunes, Fernan
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where FPL
Authors Pedro Ferreira, Pedro Ribeiro, Ana Antunes, Fernando Morgado Dias
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