ML Anthology

New Perceptron Model Using Random Bitstreams

Eel-Wan Lee, Soo-Ik Chae
NeCo 1995 pp. 280-283
doi:10.1162/NECO.1995.7.2.280 /neco/1995/lee1995neco-new/

Abstract

A very high precision is needed to implement the adder using stochastic computation (or pulse arithmetic) in modern VLSI technology. In this paper we propose a new model of perceptron using random bitstreams that alleviates this problem.

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Cite

Text

Lee and Chae. "New Perceptron Model Using Random Bitstreams." Neural Computation, 1995. doi:10.1162/NECO.1995.7.2.280

Markdown

[Lee and Chae. "New Perceptron Model Using Random Bitstreams." Neural Computation, 1995.](https://mlanthology.org/neco/1995/lee1995neco-new/) doi:10.1162/NECO.1995.7.2.280

BibTeX

@article{lee1995neco-new,
  title     = {{New Perceptron Model Using Random Bitstreams}},
  author    = {Lee, Eel-Wan and Chae, Soo-Ik},
  journal   = {Neural Computation},
  year      = {1995},
  pages     = {280-283},
  doi       = {10.1162/NECO.1995.7.2.280},
  volume    = {7},
  url       = {https://mlanthology.org/neco/1995/lee1995neco-new/}
}