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Indexed by:期刊论文

Date of Publication:2009-11-01

Journal:Journal of Computers

Included Journals:EI、Scopus

Volume:4

Issue:11

Page Number:1075-1082

ISSN No.: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.