[EN]After an oil spill it is essential to know if an area is going to be affected by the oil slicks generated. The system presented here forecasts the presence or not of oil slicks in a certain area of the open sea after an oil spill using Case-Based Reasoning methodology. CBR is a computational methodology designed to generate solutions to a certain problem by analysing previous solutions given to previous solved problems. The proposed system wraps other artificial intelligence techniques such as a Radial Basis Function Networks, Growing Cell Structures and Principal Components Analysis in order to develop the different phases of the CBR cycle. CBR systems have never been used before to solve oil slicks problems. The proposed system uses i...
CBR (Case Based Reasoning) is an ArtificialIntelligence methodology that provides thefoundations for...
A multi-agent based prediction-system is presented in which the aim is to forecast the presence of o...
A novel approach to the combination of a case based reasoning system and an artificial neural networ...
A new predicting system is presented in which the aim is to forecast the presence of oil slicks in a...
Oil spills represent one of the most destructing environmental disasters. Predicting the possibility...
A new predicting system is presented in which the aim is to forecast the presence or not of oil slic...
Oil spills represent one of the most destructive environmental disasters. Predicting the possibility...
The hybrid intelligent system presented here, forecasts the presence or not of oil slicks in a certa...
In this paper, a forecasting system is presented. It predicts the presence of oil slicks in a certai...
Abstract. A hybrid neuro-symbolic problem solving model is presented in which the aim is to forecast...
This paper presents CROS, a contingency response multi-agent system for oil spills situations. The s...
A novel hybrid forecasting Case-Based Reasoning (CBR) system is presented in this interdisciplinary ...
Abstract. A hybrid neuro-symbolic problem solving model is presented in which the aim is to forecast...
This paper presents CROS, a Contingency Response multi-agent system for Oil Spill situations. The sy...
A multi-agent approach is presented for identifying and forecasting the structure of the water ahead...
CBR (Case Based Reasoning) is an ArtificialIntelligence methodology that provides thefoundations for...
A multi-agent based prediction-system is presented in which the aim is to forecast the presence of o...
A novel approach to the combination of a case based reasoning system and an artificial neural networ...
A new predicting system is presented in which the aim is to forecast the presence of oil slicks in a...
Oil spills represent one of the most destructing environmental disasters. Predicting the possibility...
A new predicting system is presented in which the aim is to forecast the presence or not of oil slic...
Oil spills represent one of the most destructive environmental disasters. Predicting the possibility...
The hybrid intelligent system presented here, forecasts the presence or not of oil slicks in a certa...
In this paper, a forecasting system is presented. It predicts the presence of oil slicks in a certai...
Abstract. A hybrid neuro-symbolic problem solving model is presented in which the aim is to forecast...
This paper presents CROS, a contingency response multi-agent system for oil spills situations. The s...
A novel hybrid forecasting Case-Based Reasoning (CBR) system is presented in this interdisciplinary ...
Abstract. A hybrid neuro-symbolic problem solving model is presented in which the aim is to forecast...
This paper presents CROS, a Contingency Response multi-agent system for Oil Spill situations. The sy...
A multi-agent approach is presented for identifying and forecasting the structure of the water ahead...
CBR (Case Based Reasoning) is an ArtificialIntelligence methodology that provides thefoundations for...
A multi-agent based prediction-system is presented in which the aim is to forecast the presence of o...
A novel approach to the combination of a case based reasoning system and an artificial neural networ...