Hybrid artificial intelligence methods in oceanographic forecast models

Hybrid artificial intelligence methods in oceanographic forecast models

—An approach to hybrid artificial intelligence problem solving is presented in which the aim is to forecast, in real time, the physical parameter values of a complex and dynamic environment: the ocean. In situations in which the rules that determine a system are unknown or fuzzy the prediction of the parameter values that determine the characteristic behaviour of the system can be a problematic...

Bayesian Methods in Artificial Intelligence

In many problems in the area of artificial intelligence, it is necessary to deal with uncertainty. Using probabilistic models can also improve efficiency of standard AI-based techniques. Commonly used methods for dealing with uncertainty include Bayesian models, which can be used to describe and work with probabilistic systems effectively. This article reviews several models based on the Bayesi...

Mathematical methods in artificial intelligence

Artificial Intelligence Tools to Forecast Ocean Waves in Real Time

Prediction of wind generated ocean waves over short lead times of the order of some hours or days is helpful in carrying out any operation in the sea such as repairs of structures or laying of submarine pipelines. This paper discusses an application of different artificial intelligent tools for this purpose. The physical domain where the wave forecasting is made belongs to the western part of t...

Artificial Intelligence Methods for Ambient Intelligence

Ambient Intelligence (ISTAG (2001) Scenarios for Ambient Intelligence in 2010) is a vision that enables intelligent environments with pervasive technology. In this vision human users are at the cent re, but machine and human are seen as equal, collaborating, to improve both human being and machine performance. Ambient Intelligence offers many benefits. For example, by inst rumenting public and ...