Undergraduate Research & Mentoring Program

Document Type

Presentation

Publication Date

Fall 10-8-2020

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

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