A Forecasting Model of WCPO Katsuwonus Pelamis Purse Seine Catch Based on Rough-SVR
- 10.2991/iske.2007.155How to use a DOI?
- Rough Set; SVR; Katsuwonus Pelamis;
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
- © 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 - 10.2991/iske.2007.155 ID - Yang2007/10 ER -