Year: 1993
Type: dissertation
Abstract: The recent dramatic increase in research activity in the study of artificial neural networks has resulted in non-linear systems that are capable of tasks such as classification, optimisation and content addressable memory.These successes, together with the desire to understand and mimic biological neural systems, have led to interest in the implementation of neural networks in both analogue and digital VLSI.This thesis describes the pulse stream methodology for signalling, arithmetic and communication in VLSI neural networks.A review of conventional VLSI implementations of neural networks by case study highlights the significant contributions to date in the areas of digital, mixed signal and analogue neural networks.A review of pulsed VLSI implementations of neural networks highlights research activity that is most closely related to that contained within this thesis.vii Chapter 7 Summary and Conclusions 122 7.1 Summary .....
Source: ERA
Author: Alister Hamilton
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2295384790