As shown here, some of the applications are in the areas of data integration, identification of bycatch areas, and species correlation analysis. I know from first-hand knowledge, that this is a technology area that is being used by the fisheries of the North Pacific. The technical challenge is to make this technology affordable and accessible. Database mining is a set of tools that seek to extract correlations and trends buried within large databases. This technology is used to find new stars, locate profitable locations for a real-estate development, and identifying good candidates for credit cards.
Neural networks are able to learn complex nonlinear mappings.
They have been applied to problems ranging from identifying cancer cells to controlling robots. One area where neural networks have excelled is in modeling. In finance, neural networks are used to model stock prices, exchange rates, and purchase decisions. In the fisheries, neural networks could be used to model marine mammal populations, environmental changes, and fish migrations. The last area, nonlinear dynamical systems, is concerned with modeling the changes in chaotic and semi-chaotic systems.