@inproceedings{3892e5a0ac8f416293fed20631665b59,
title = "The self-generating model: An adaptation of the self-organizing map for intelligent agents and data mining",
abstract = "We present the Self-Generating Model (SGM), a new version of the Self-organizing Map (SOM) that has been adapted for use in intelligent data mining ALife agents. The SGM sacrifices the topology-preserving ability of the SOM, but is equally accurate, and faster, at identifying handwritten numerals. It achieves a higher accuracy faster than the SOM. Furthermore, it increases model stability and reduces the problem of “wasted” models. We feel that the SGM could be a useful alternative to the SOM when topology preservation is not required.",
keywords = "Artificial life, Intelligent agents, Self-organizing map",
author = "{de Buitl{\'e}ir}, Amy and Mark Daly and Michael Russell",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 2nd International Symposium on Artificial Life and Intelligent Agents, ALIA 2016 ; Conference date: 14-06-2016 Through 15-06-2016",
year = "2018",
doi = "10.1007/978-3-319-90418-4_5",
language = "English",
isbn = "9783319904177",
series = "Communications in Computer and Information Science",
publisher = "Springer-Verlag GmbH and Co. KG",
pages = "59--72",
editor = "Headleand, {Christopher J.} and Ritsos, {Panagiotis D.} and Steve Battle and Lewis, {Peter R.}",
booktitle = "Artificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers",
address = "Germany",
}