Implementing neural networks in FPGAs
Xinsheng Yu, D.J. Dent · 1994
The reconfigurability of certain field programmable gate arrays (FPGAs) has shown their advantage of flexibility in digital system design. With the availability of greater density and high speed of FPGAs, the ability to realise special purpose processors will become possible. The authors present the research work of implementing specific trained neural network in Xilinx XC4000 series FPGAs for portable digital system prototype in heart disease classification process. >