FPGA-based reconfigurable architecture for neural network

• Main Author: Sim, Ui Tek.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Theses and Dissertations
• Published: 2008
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: http://hdl.handle.net/10356/3263
• Institution: Nanyang Technological University

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 c...