Power Signal Predictions by Several Neural Models

DOI

10.2991/jcis.2006.284How to use a DOI?

Keywords

non-stationary, power signal, prediction, neural models

Abstract

In this paper, a comparison study for the non-stationary power signal prediction by using several neural models is presented. A reliable and accurate neural forecasting model is trying to be found and concluded. This study is expected to provide some suggestions and could be treated as a reference for the researchers in this area. All simulations are executed by using several neural networks with different structures and then the results are reported.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Rey-Chue Hwang
AU  - Yu-Ju Chen
AU  - Shang-Jen Chuang
AU  - Hunag-Chu Huang
AU  - Chuo-Yean Chang
PY  - 2006/10
DA  - 2006/10
TI  - Power Signal Predictions by Several Neural Models
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.284
DO  - 10.2991/jcis.2006.284
ID  - Hwang2006/10
ER  -