Title :
Hardware implementation of an artificial neural network using field programmable gate arrays (FPGA´s)
Author :
Botros, Naleih M. ; Abdul-Aziz, M.
Author_Institution :
Dept. of Electr. Eng., Southern Illinois Univ., Carbondale, IL, USA
fDate :
12/1/1994 12:00:00 AM
Abstract :
In this paper, the authors present a hardware implementation of a fully digital multilayer perceptron artificial neural network using Xilinx Field Programmable Gate Arrays (FPGAs). Each node is implemented with two XC3042 FPGAs and a 1 K×8 EPROM. Training is done offline on a PC. The authors have tested successfully the performance of the network
Keywords :
EPROM; field programmable gate arrays; learning (artificial intelligence); microcomputer applications; multilayer perceptrons; 1 k; EPROM; PC; XC3042; artificial neural network; digital multilayer perceptron; field programmable gate arrays; hardware implementation; offline training; performance; Artificial neural networks; Computational modeling; EPROM; Field programmable gate arrays; Medical simulation; Multilayer perceptrons; Neural network hardware; Programmable logic arrays; Software packages; Very large scale integration;
Journal_Title :
Industrial Electronics, IEEE Transactions on
