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Investigating the Optimal Neural Network Parameters for Decoding

Information Theory 2022-04-27 v1 Machine Learning math.IT
Authors: Joshua Tshifhiwa Maumela
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Abstract

Neural Networks have been proved to work as decoders in telecommunications, so the ways of making it efficient will be investigated in this thesis. The different parameters to maximize the Neural Network Decoder's efficiency will be investigated. The parameters will be tested for inversion errors only.

Keywords

deep neural networks neural network encoder-decoder architecture

Cite

@article{arxiv.2204.12441,
  title  = {Investigating the Optimal Neural Network Parameters for Decoding},
  author = {Joshua Tshifhiwa Maumela},
  journal= {arXiv preprint arXiv:2204.12441},
  year   = {2022}
}

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