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论文类型：会议论文

发表时间：2009-05-19

收录刊物：EI、CPCI-S、Scopus

卷号：4

页面范围：96-+

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 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.