loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Nibaldo Rodriguez ; Broderick Crawford and Eleuterio Yañez

Affiliation: Pontificia Universidad Catolica de Valparaiso, Chile

Keyword(s): Neural networks, wavelet denoising, forecasting.

Related Ontology Subjects/Areas/Topics: Business Analytics ; Communication and Software Technologies and Architectures ; Data Engineering ; Data Warehouses and Data Mining ; e-Business ; Enterprise Information Systems

Abstract: This paper deals with time series of monthly sardines catches in the north area of Chile. The proposed method combines radial basis function neural network (RBFNN) with wavelet denoising algorithm. Wavelet denoising is based on stationary wavelet transform with hard thresholding rule and the RBFNN architecture is composed of linear and nonlinear weights, which are estimated by using the separable nonlinear least square method. The performance evaluation of the proposed forecasting model showed that a 93% of the explained variance was captured with a reduced parsimony.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.117.76.7

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Rodriguez, N.; Crawford, B. and Yañez, E. (2008). RBF NETWORK COMBINED WITH WAVELET DENOISING FOR SARDINE CATCHES FORECASTING. In Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT; ISBN 978-989-8111-53-1; ISSN 2184-2833, SciTePress, pages 308-311. DOI: 10.5220/0001893403080311

@conference{icsoft08,
author={Nibaldo Rodriguez. and Broderick Crawford. and Eleuterio Yañez.},
title={RBF NETWORK COMBINED WITH WAVELET DENOISING FOR SARDINE CATCHES FORECASTING},
booktitle={Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT},
year={2008},
pages={308-311},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001893403080311},
isbn={978-989-8111-53-1},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT
TI - RBF NETWORK COMBINED WITH WAVELET DENOISING FOR SARDINE CATCHES FORECASTING
SN - 978-989-8111-53-1
IS - 2184-2833
AU - Rodriguez, N.
AU - Crawford, B.
AU - Yañez, E.
PY - 2008
SP - 308
EP - 311
DO - 10.5220/0001893403080311
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic