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Indexed by:会议论文

Date of Publication:2009-05-19

Included Journals:EI、CPCI-S、Scopus

Volume:4

Page Number:96-+

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 networks 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.