%0 Journal Article
%T Forecasting Fish Stock Recruitment and Planning Optimal Harvesting Strategies by Using Neural Network
%A Lin Sun
%A Hongjun Xiao
%A Shouju Li
%A Dequan Yang
%J Journal of Computers
%D 2009
%I Academy Publisher
%R 10.4304/jcp.4.11.1075-1082
%X 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.
%K neural network
%K prediction of fish stock recruitment
%K optimal harvesting strategy
%K management decision
%U http://ojs.academypublisher.com/index.php/jcp/article/view/825