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论文类型：期刊论文

发表时间：2009-11-01

发表刊物：Journal of Computers

收录刊物：EI、Scopus

卷号：4

期号：11

页面范围：1075-1082

ISSN号：1796203X

摘要：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.