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A Novel Knowledge Discovery Model for Fishery Forecasting
2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009In the area of ocean fisheries research, a new research interest is to use marine environment factors for fishery forecasting. This paper proposes a novel knowledge discovery model for fishery forecasting that uses the Indian Ocean big-eye tuna fishery as its testing ground. The model employs a 3-step process.
Hongchun Yuan
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Study on the Medium and Long Term of Fishery Forecasting Based on Neural Network
Lecture Notes in Computer Science, 2012The forecasting system for medium to long term fishery resources is based on historical production data of specified fish types and those marine environmental factors. As these systems give a macro level prediction of fishery resources in the coming years they provide indispensable references for the planning and management of catching seasons.
Jintao Wang, Xinjun Chen
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Fishery Forecasting Based on Singular Spectrum Analysis Combined with Bivariate Regression
Lecture Notes in Computer Science, 2015The fishery of anchovy and sardine has a great importance in the economy of Chile; they are important resources used for internal consumption and for export. The forecasting based on historical time series is a fishery planning tool. In this paper is presented the forecasting of anchovy and sardine by means of the monthly catches in the Chilean ...
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The Forecasting of the East Anglian Herring Fishery
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Removing biases in forecasts of fishery status
Journal of Bioeconomics, 2013A recent highly cited paper from this journal develops a model predicting maximum sustainable yield (\(MSY\)) of a fishery using the historical maximum catch (\(MaxCatch\)). The model is parameterized with a small sample of fisheries from the United States, and is subsequently applied globally to estimate the benefits of fishery recovery.
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