Rrann: the Run-time Reconnguration Artiicial Neural Network

Abstract

Run-time reconnguration is a way of more fully exploiting the exibility of reconngurable FPGAs. The Run-Time Reconnguration Artiicial Neural Network (RRANN) uses run-time reconnguration to increase the hardware density of FPGAs. This is done by dividing the backpropagation algorithm into three sequentially executed stages and connguring the FPGAs to execute… (More)

Topics

1 Figure or Table

Cite this paper

@inproceedings{Eldredge1994RrannTR, title={Rrann: the Run-time Reconnguration Artiicial Neural Network}, author={James G. Eldredge and Brad L. Hutchings}, year={1994} }