A Novel FPGA-based Implementation of Neural Networks

Provided by: AICIT
Topic: Hardware
Format: PDF
It is well known that a perceptron, a type of artificial neural networks, has a lot of application in the area of classification, pattern recognition, clustering, among others. This paper presents a hardware implementation approach for multilayer perceptron neural networks using only one DSP48 slice and two block RAMs in Xilinx Virtex-4 SX35 FPGA (Field Programmable Gate Arrays). As a typical instance of perceptron neural network application, the authors have implemented a handwritten digit recognition system on their hardware implementation.

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