Undergraduate Research & Mentoring Program
Advisor
Christof Teuscher
Document Type
Presentation
Publication Date
Fall 10-8-2020
Subjects
Approximate computing, Memristors, Neural networks, Machine learning -- Algorithms, Network optimization
Abstract
Approximate computation is a new trend that explores and harnesses trade-offs between the precision and energy/power consumption of computing systems. In this project a feed-forward neural network was designed as well as several reservoir networks using different network topologies to compare the accuracy and resilience of the network against the computational complexity required.
Persistent Identifier
https://archives.pdx.edu/ds/psu/34042
Citation Details
Atherton, Richard, "Approximate Computing with Emerging Devices" (2020). Undergraduate Research & Mentoring Program. 41.
https://archives.pdx.edu/ds/psu/34042