Release Time:2019-03-11  Hits:

Indexed by: Journal Article

Date of Publication: 2009-11-01

Journal: Journal of Computers

Included Journals: Scopus、EI

Volume: 4

Issue: 11

Page Number: 1075-1082

ISSN: 1796203X

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. ? 2009 ACADEMY PUBLISHER.