Referenced Items are not available for this document.
Continuous valued number system (CVNS) has the fulfilment of being used for building resistive-type distributed neural networks (DNNs). CVNS DNNs benefit form scalability and higher noise immunity compared to the conventional DNNs. In this paper, CVNS is used to design synapse-neuron modules to cope with the environment resolution. These modules can be employed as building blocks of distributed neural networks. A 4-3-2 network is designed and trained to justify the functionality of the proposed structure. This prototype is simulated and laid out in 0.18 μm CMOS technology.
Published in:
Circuits and Systems I: Regular Papers, IEEE Transactions on
(Volume:59
,
Issue:
7
)
Date of Publication: July 2012
- Page(s):
- 1482 - 1490
- ISSN :
- 1549-8328
- INSPEC Accession Number:
- 12817668
- Digital Object Identifier :
- 10.1109/TCSI.2011.2177108
- Product Type:
- Journals & Magazines
- Date of Publication :
- 16 January 2012
- Date of Current Version :
- 22 June 2012
- Issue Date :
- July 2012
- Sponsored by :
- IEEE Circuits and Systems Society
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