Title :
Fault tolerant Field Programmable Neural Networks
Author :
Martin Krcma;Zdenek Kotasek;Jan Kastil
Author_Institution :
Faculty of Information Technology, Brno University of Technology, Czech Republic
Abstract :
This paper describes a concept of Field Programmable Neural Networks (FPNNs) for artificial neural networks implementation in FPGAs, presents a model of fault tolerant FPNNs and different fault tolerance improving techniques based on the model. It describes an experiment based on one of these techniques and presents its results.
Keywords :
"Fault tolerant systems","Fault tolerance","Biological neural networks","Field programmable gate arrays","Approximation methods","Neurons","Tunneling magnetoresistance"
Conference_Titel :
Nordic Circuits and Systems Conference (NORCAS): NORCHIP & International Symposium on System-on-Chip (SoC), 2015
DOI :
10.1109/NORCHIP.2015.7364381
