Masters Theses
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.
Recommended Citation
Chan, Jason Yen-Shen, "Implementation of a Neuromorphic Development Platform with DANNA. " Master's Thesis, University of Tennessee, 2015.
https://trace.tennessee.edu/utk_gradthes/3569
Included in
Computer and Systems Architecture Commons, Electrical and Electronics Commons, Hardware Systems Commons