A MULTI RESOLUTION FORECASTING METHOD FOR SHORT LENGTH TIME SERIES DATA USING NEURAL NETWORKS

S. Arash Sheikholeslam, Pouya Bidram

2010

Abstract

In this paper a new multi-resolution approach for time series forecasting based on a composition of three different types of neural networks is introduced and developed. A comparison between this method and 3 ordinary neural network based forecasting methods is obtained experimentally.

Paper Citation

in Harvard Style

Arash Sheikholeslam S. and Bidram P. (2010). A MULTI RESOLUTION FORECASTING METHOD FOR SHORT LENGTH TIME SERIES DATA USING NEURAL NETWORKS . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 532-535. DOI: 10.5220/0002714305320535

in Bibtex Style

@conference{icaart10,
author={S. Arash Sheikholeslam and Pouya Bidram},
title={A MULTI RESOLUTION FORECASTING METHOD FOR SHORT LENGTH TIME SERIES DATA USING NEURAL NETWORKS},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={532-535},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002714305320535},
isbn={978-989-674-021-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - A MULTI RESOLUTION FORECASTING METHOD FOR SHORT LENGTH TIME SERIES DATA USING NEURAL NETWORKS
SN - 978-989-674-021-4
AU - Arash Sheikholeslam S.
AU - Bidram P.
PY - 2010
SP - 532
EP - 535
DO - 10.5220/0002714305320535