¹School of management of Dalian University of Technology, Dalian, 116024, China
²Department of Engineering Mechanics, Dalian University of Technology, Dalian, 116024, China

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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.

Index Terms—Neural network, prediction of fish stock recruitment, optimal harvesting strategy, management decision.

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Cite: Lin Sun, Hongjun Xiao, Shouju Li, Dequan Yang, "Forecasting Fish Stock Recruitment and Planning Optimal harvesting strategies by Using Neural Network," Journal of Computers vol. 4, no. 11, pp. 1075-1082, 2009.