FPGA-based reconfigurable architecture for neural network.
Sim, Ui Tek.
Date of Issue2001
School of Electrical and Electronic Engineering
The objectives are to investigate the use of FPGA-based reconfigurable architecture to implement artificial neural networks; to propose implementation methodologies for designing neural networks’ training algorithm on FPGA devices and to describe the design and implementation of a prototype neural computing system based on FPGA devices.
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Nanyang Technological University