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