DocumentCode
1909690
Title
A class of Hopfield decodable codes
Author
Wiberg, Niclas
Author_Institution
Dept. of Electr. Eng., Linkoping Univ., Sweden
fYear
1993
fDate
6-9 Sep 1993
Firstpage
88
Lastpage
97
Abstract
A class of error correcting codes is presented that can be decoded by recurrent neural networks of the Hopfield style. The codes are Euclidean-space codes with information rate less than one bit per dimension. They are related to, but considerably generalize, the Hopfield decodable codes by Yuan et al. Simulations indicate that the Hopfield decoder is nearly optimal for these codes
Keywords
Hopfield neural nets; error correction codes; Euclidean-space codes; Hopfield decodable codes; Hopfield neural nets; error correcting codes; recurrent neural networks; Binary codes; Decoding; Error correction codes; Euclidean distance; Hamming distance; Hopfield neural networks; Information rates; Neural networks; Parity check codes; Recurrent neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Processing [1993] III. Proceedings of the 1993 IEEE-SP Workshop
Conference_Location
Linthicum Heights, MD
Print_ISBN
0-7803-0928-6
Type
conf
DOI
10.1109/NNSP.1993.471880
Filename
471880
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