Abstract
| Original language | English |
|---|---|
| Title of host publication | Neural and Fuzzy Systems: Design, Hardware and Applications, Colloquium Digest 1997/133 |
| Publisher | IEE |
| Pages | 3/1-3/4 |
| Number of pages | 4 |
| Volume | 1997/133 |
| Edition | 133 |
| DOIs | |
| Publication status | Published - 1997 |
Publication series
| Name | Colloqium Digest |
|---|---|
| Publisher | IEE |
| Number | 133 |
| Volume | 1997 |
| ISSN (Print) | 0963-3308 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
An introduction to modular map systems. / Lightowler, N.; Spracklen, C. T.; Allen, A. R.
Neural and Fuzzy Systems: Design, Hardware and Applications, Colloquium Digest 1997/133. Vol. 1997/133 133. ed. IEE , 1997. p. 3/1-3/4 (Colloqium Digest; Vol. 1997, No. 133).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - An introduction to modular map systems
AU - Lightowler, N.
AU - Spracklen, C. T.
AU - Allen, A. R.
PY - 1997
Y1 - 1997
N2 - We present an overview of our design for a fully digital hardware implementation of the Self Organising Map (SOM) (T. Kohonen, 1982). Our approach has resulted in a modular system (Modular Maps) which utilises fine grain parallelism with each neuron being a separate entity implemented as a small RISC processor. The essence of the SOM has been maintained by this design, although minor modifications have been made to the original algorithm to facilitate implementation. Modules can be used as either stand alone systems or combined to enable large networks to be created and large input vectors to be catered for. A simulator system was developed to facilitate investigation into the high level behaviour of Modular Map systems and, as Modular Maps are computationally intensive and parallel in nature, it was implemented on a parallel computer system. A series of simulations was carried out using encoded images of human faces where it was found that the classification accuracy of a Modular Map system offered an improvement over that of the traditional SOM
AB - We present an overview of our design for a fully digital hardware implementation of the Self Organising Map (SOM) (T. Kohonen, 1982). Our approach has resulted in a modular system (Modular Maps) which utilises fine grain parallelism with each neuron being a separate entity implemented as a small RISC processor. The essence of the SOM has been maintained by this design, although minor modifications have been made to the original algorithm to facilitate implementation. Modules can be used as either stand alone systems or combined to enable large networks to be created and large input vectors to be catered for. A simulator system was developed to facilitate investigation into the high level behaviour of Modular Map systems and, as Modular Maps are computationally intensive and parallel in nature, it was implemented on a parallel computer system. A series of simulations was carried out using encoded images of human faces where it was found that the classification accuracy of a Modular Map system offered an improvement over that of the traditional SOM
UR - http://www.scopus.com/inward/record.url?scp=6144236523&partnerID=8YFLogxK
U2 - 10.1049/ic:19970732
DO - 10.1049/ic:19970732
M3 - Conference contribution
AN - SCOPUS:6144236523
VL - 1997/133
T3 - Colloqium Digest
SP - 3/1-3/4
BT - Neural and Fuzzy Systems: Design, Hardware and Applications, Colloquium Digest 1997/133
PB - IEE
ER -