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Title: On guaranteed correction of error patterns with artificial neural networks
In this paper, we analyze applicability of singleand two-hidden-layer feed-forward artificial neural networks, SLFNs and TLFNs, respectively, in decoding linear block codes. Based on the provable capability of SLFNs and TLFNs to approximate discrete functions, we discuss sizes of the network capable to perform maximum likelihood decoding. Furthermore, we propose a decoding scheme, which use artificial neural networks (ANNs) to lower the error-floors of low-density parity-check (LDPC) codes. By learning a small number of error patterns, uncorrectable with typical decoders of LDPC codes, ANN can lower the error-floor by an order of magnitude, with only marginal average complexity incense.  more » « less
Award ID(s):
2027844 2100013 2052751 1855879
PAR ID:
10342810
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
Telfor Journal
Volume:
14
ISSN:
1821-3251
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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