A Support System for Fisheries Based on Neural Networks

Abstract

This paper presents the foundations of a decision support system for the localisation of fisheries based on AI techniques. The purpose of such a system is to reduce the costs of fishing fleets without endangering the sustainable development of the natural resources. Our data sources are satellite images (OrbView-2, Series NOAA, Topex/Poseidon), as well as real catch data obtained from the fishing log of a pilot boat. We have compared neural networks, ANFIS, and functional networks, and we have exported the results to a SIG. The best results were obtained for a perceptron trained with the Backpropagation method.