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Natural learning of neural networks by reconfiguration

Spaanenburg, Lambert LU ; Alberts, R; Slump, C H and vanderZwaag, B J (2003) SPIE Conference on Bioengineered and Bioinspired Systems, 2003 In SPIE Proceedings on Bioengineered and Bioinspired Systems 5119. p.273-284
Abstract
The communicational and computational demands of neural networks are hard to satisfy in a digital technology. Temporal computing solves this problem by iteration, but leaves a slow network. Spatial computing was no option until the coming of modern FPGA devices. The letter shows how a small feed-forward neural module can be configured on the limited logic blocks between RAM and multiplier macro’s. It is then described how by spatial unrolling or by reconfiguration a large modular ANN can be built from such modules.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Spatial Computing, ANN, Modularity, FPGA, Reconfiguration
in
SPIE Proceedings on Bioengineered and Bioinspired Systems
volume
5119
pages
273 - 284
publisher
SPIE
conference name
SPIE Conference on Bioengineered and Bioinspired Systems, 2003
external identifiers
  • wos:000183951000031
  • scopus:0041827012
ISSN
0277-786X
1996-756X
DOI
10.1117/12.499549
language
English
LU publication?
yes
id
c9d0b592-fba2-437c-82c6-e60365f7171f (old id 603877)
date added to LUP
2007-12-03 12:07:00
date last changed
2018-01-07 05:45:53
@inproceedings{c9d0b592-fba2-437c-82c6-e60365f7171f,
  abstract     = {The communicational and computational demands of neural networks are hard to satisfy in a digital technology. Temporal computing solves this problem by iteration, but leaves a slow network. Spatial computing was no option until the coming of modern FPGA devices. The letter shows how a small feed-forward neural module can be configured on the limited logic blocks between RAM and multiplier macro’s. It is then described how by spatial unrolling or by reconfiguration a large modular ANN can be built from such modules.},
  author       = {Spaanenburg, Lambert and Alberts, R and Slump, C H and vanderZwaag, B J},
  booktitle    = {SPIE Proceedings on Bioengineered and Bioinspired Systems},
  issn         = {0277-786X},
  keyword      = {Spatial Computing,ANN,Modularity,FPGA,Reconfiguration},
  language     = {eng},
  pages        = {273--284},
  publisher    = {SPIE},
  title        = {Natural learning of neural networks by reconfiguration},
  url          = {http://dx.doi.org/10.1117/12.499549},
  volume       = {5119},
  year         = {2003},
}