Forecasting Fish Stock Recruitment and Planning Optimal Harvesting Strategies by Using Neural Network
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| Title | Forecasting Fish Stock Recruitment and Planning Optimal Harvesting Strategies by Using Neural Network |
| Authors | |
| Abstract | Recruitment prediction is a key element for management decisions in many fisheries. A new approach using neural network is developed as a tool to produce a formula for forecasting fish stock recruitment. In order to deal with the local minimum problem in training neural network with back-propagation algorithm and to enhance forecasting precision, neural network’s weights are adjusted by optimization algorithm. It is demonstrated that a well trained artificial neural network reveals an extremely fast convergence and a high degree of accuracy in the prediction of fish stock recruitment. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2009-11-01 |
| Source | Journal of Computers Vol 4, No 11 (2009): Special Issue: Selected Best Papers of WKDD 2008 - Track on Information Proces |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |