ML Anthology

Analysis of Short Term Memories for Neural Networks

Jose C. Principe, Hui-H. Hsu, Jyh-Ming Kuo
NeurIPS 1993 pp. 1011-1018
/neurips/1993/principe1993neurips-analysis/

Abstract

Short term memory is indispensable for the processing of time varying information with artificial neural networks. In this paper a model for linear memories is presented, and ways to include memories in connectionist topologies are discussed. A comparison is drawn among different memory types, with indication of what is the salient characteristic of each memory model.

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Text

Principe et al. "Analysis of Short Term Memories for Neural Networks." Neural Information Processing Systems, 1993.

Markdown

[Principe et al. "Analysis of Short Term Memories for Neural Networks." Neural Information Processing Systems, 1993.](https://mlanthology.org/neurips/1993/principe1993neurips-analysis/)

BibTeX

@inproceedings{principe1993neurips-analysis,
  title     = {{Analysis of Short Term Memories for Neural Networks}},
  author    = {Principe, Jose C. and Hsu, Hui-H. and Kuo, Jyh-Ming},
  booktitle = {Neural Information Processing Systems},
  year      = {1993},
  pages     = {1011-1018},
  url       = {https://mlanthology.org/neurips/1993/principe1993neurips-analysis/}
}