Referenced Items are not available for this document.
A modular transconductance-mode (T-mode) design approach is presented for analog hardware implementations of neural networks. This design approach is used to build a modular bidirectional associative memory network. The authors show that the size of the whole system can be increased by interconnecting more modular chips. It is also shown that by changing the interconnection strategy different neural network systems can be implemented, such as a Hopfield network, a winner-take-all network, a simplified ART 1 network, or a constrained optimization network. Experimentally measured results from CMOS 2-μm double-metal, double-polysilicon prototypes (MOSIS) are presented
Published in:
Solid-State Circuits, IEEE Journal of
(Volume:27
,
Issue:
5
)
Date of Publication: May 1992
- Page(s):
- 701 - 713
- ISSN :
- 0018-9200
- INSPEC Accession Number:
- 4175500
- Digital Object Identifier :
- 10.1109/4.133157
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- May 1992
- Sponsored by :
- IEEE Solid-State Circuits Society
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