Result Details
Self-Organizing Sparse Distributed Memory as a Predictive Memory
The paper discuses an extension of Kanerva's Sparse Distributed Memory (SDM) and introduces possible application in prediction. A self-organizing SDM equivalent to a three-layered neural network is used to learn the desired transfer function mapping a history of velocity vectors to predicted velocity vector. The net was tested in simple mouse-tracking experiment, but can be used in more handy problems, for example in motion capturing systems.
Neural Net, Self-Organizing Map, Soft Competitive Learning Rule, Sparse Distributed Memory, Prediction
The paper discuses an extension of Kanerva's Sparse Distributed Memory (SDM) and introduces possible application in prediction. A self-organizing SDM equivalent to a three-layered neural network is used to learn the desired transfer function mapping a history of velocity vectors to predicted velocity vector. The net was tested in simple mouse-tracking experiment, but can be used in more handy problems, for example in motion capturing systems.
@inproceedings{BUT192155,
author="František {Grebeníček}",
title="Self-Organizing Sparse Distributed Memory as a Predictive Memory",
booktitle="Nostradamus '99",
year="1999",
pages="17--22",
publisher="unknown",
address="Zlín",
isbn="80-214-1424-3",
url="http://ft3.zlin.vutbr.cz/nostra/PRESENT/PRESENT.HTM"
}