Title: Applying Artificial Neural Networks and Hybrid Systems on problems of forecasting and classification

Artificial Neural Networks constitute an artificial intelligence technique that is used frequently in our activities. Artficial neural networks applications have been showing satisfatory results in many research areas like classification, pattern recognition, function approximation, temporal series processing among others. In this project, special emphasis will be given on hydric resources, environment, power systems and economic series. The main goal of the project is the development of new tools based on neural networks and hybrid systems that chan help reduce the classification and forecasting errors as well as facilitate the use of these techniques by non-professionals.