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Connectionist Systems for Fishing Prediction
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Author(s): Alfonso Iglesias (University of A Coruna, Spain), Bernardino Arcay (University of A Coruna, Spain)and José M. Cotos (University of Santiago de Compostela, Spain)
Copyright: 2006
Pages: 32
Source title:
Artificial Neural Networks in Real-Life Applications
Source Author(s)/Editor(s): Juan R. Rabuñal (University of A Coruña, Spain)and Julian Dorado (University of A Coruña, Spain)
DOI: 10.4018/978-1-59140-902-1.ch013
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Abstract
This chapter explains the foundations of a new support system for fisheries, based on connectionist techniques, digital image treatment, and fuzzy logic. The purpose of our system is to increase the output of the pelagic fisheries without endangering the natural balance of the fishing resources. It uses data from various remote sensors and the logbook of a collaborating fishing boat to improve the catches of the Prionace Glauca, a pelagic shark species also known as the blue shark.
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