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Date of Award
2014
Rights
Access perpetually restricted to EWU users with an active EWU NetID
Document Type
Thesis: EWU Only
Degree Name
Master of Science (MS) in Computer Science
Department
Computer Science
First Advisor
Dr. Kosuke Imamura, PhD
Second Advisor
Dr. Carol Taylor, PhD
Third Advisor
Doris Munson M.L.S.
Abstract
This thesis proposes a digital artificial neuron which uses only digital logic. The purpose is to create a hardware neuron on a digital device. While conventional neurons use real valued software implemented transfer functions and threshold values to determine the output, the proposed neuron converts inputs into square waves of frequencies determined by weights, and the time that the input waves require to produce a certain pattern is used to determine the output. This neuron was tested on a software simulator and successfully implemented on a Field Programmable Gate Array (FPGA) to prove its viability.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Ellis, David J., "Artificial Frequency Match Neuron Implemented with Digital Logic" (2014). EWU Masters Thesis Collection. 1.
https://dc.ewu.edu/theses/1
Comments
Typescript. Vita.