On a Magnitude Preserving Iterative MAXnet Algorithm

Abstract

A new iterative maximum picking neural net (MAXnet) is presented. This formulation determines the value and the location either for a unique maximum or for multiple maxima. This new net converges, for many commonly occurring distributions, in O(log M) iterations using only simple computing elements.

Cite

Text

Suter and Kabrisky. "On a Magnitude Preserving Iterative MAXnet Algorithm." Neural Computation, 1992. doi:10.1162/NECO.1992.4.2.224

Markdown

[Suter and Kabrisky. "On a Magnitude Preserving Iterative MAXnet Algorithm." Neural Computation, 1992.](https://mlanthology.org/neco/1992/suter1992neco-magnitude/) doi:10.1162/NECO.1992.4.2.224

BibTeX

@article{suter1992neco-magnitude,
  title     = {{On a Magnitude Preserving Iterative MAXnet Algorithm}},
  author    = {Suter, Bruce W. and Kabrisky, Matthew},
  journal   = {Neural Computation},
  year      = {1992},
  pages     = {224-233},
  doi       = {10.1162/NECO.1992.4.2.224},
  volume    = {4},
  url       = {https://mlanthology.org/neco/1992/suter1992neco-magnitude/}
}