Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

A Forecasting Model of WCPO Katsuwonus Pelamis Purse Seine Catch Based on Rough-SVR

Authors
Yebo Yang1, Hongchun Yuan, Ying Chen
1College of Information Technology, Shanghai Fisheries University
Corresponding Author
Yebo Yang
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.155How to use a DOI?
Keywords
Rough Set; SVR; Katsuwonus Pelamis;
Abstract

Fishery prediction by using long-term accumulated hydrology elements and catch statistic data has been an urgent requirement in aquatic domain. In this paper, 18 different WCPO (Western and Central Pacific Ocean) hydrology elements were collected and a key influence element set was found by using Rough Set Theory before training to build up the forecasting model rather than using ?-SVR directly. Comparative experiments with traditional ?-SVR show that the Rough Set could remove redundancy elements effectively; the Rough-SVR results in a better goodness of fit than the traditional ?-SVR and it is superior to multiple regression analysis

Copyright
© 2007, 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/).

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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.155How to use a DOI?
Copyright
© 2007, 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/).

Cite this article

TY  - CONF
AU  - Yebo Yang
AU  - Hongchun Yuan
AU  - Ying Chen
PY  - 2007/10
DA  - 2007/10
TI  - A Forecasting Model of WCPO Katsuwonus Pelamis Purse Seine Catch Based on Rough-SVR
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 915
EP  - 920
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.155
DO  - https://doi.org/10.2991/iske.2007.155
ID  - Yang2007/10
ER  -