Date of Award

12-2015

Degree Type

Thesis

Degree Name

Master of Science

Major

Electrical Engineering

Major Professor

Mark Dean

Committee Members

John D. Birdwell, Garrett Rose

Abstract

Neuromorphic computing is the use of artificial neural networks to solve complex problems. The specialized computing field has been growing in interest during the past few years. Specialized hardware that function as neural networks can be utilized to solve specific problems unsuited for traditional computing architectures such as pattern classification and image recognition. However, these hardware platforms have neural network structures that are static, being limited to only perform a specific application, and cannot be used for other tasks. In this paper, the feasibility of a development platform utilizing a dynamic artificial neural network for researchers is discussed.

Files over 3MB may be slow to open. For best results, right-click and select "save as..."

Share

COinS