Author:
Butov V V,Dumachev V N,Fedyaeva S E
Abstract
Abstract
In paper, neural net decoders of nonbinary error correction codes are considered. Analytic methods for calculating of synapse weight coefficients are proposed. It is shown that for codes (n, k) with a small number of corrected errors (n − k ≪ k), it is advisable to use a 6-layer universal classifier based on the feature space of parity symbols. For codes with k ≪ n − k, it is proposed to use a 3-layer classifier on feature space of information symbols.
Subject
General Physics and Astronomy
Reference12 articles.
1. An application of neural net in decoding error-correcting codes;Zeng;IEEE International Symposium on Circuits and Systems,1989
2. A computational framework for efficient error correcting codes using an artificial neural network paradigm;Htay,1992
3. Error correcting neural networks for channels with Gaussian noise;Ortuó;IJCNN International Joint Conference on Neural Networks,1992
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献