Case-based reasoning
Applying case-based reasoning: techniques for enterprise systems
Applying case-based reasoning: techniques for enterprise systems
Adaptation of cases for case based forecasting with neural network support
Soft computing in case based reasoning
Inside Case-Based Reasoning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
SpamHunting: An instance-based reasoning system for spam labelling and filtering
Decision Support Systems
An empirical study on sea water quality prediction
Knowledge-Based Systems
Greedy regression ensemble selection: Theory and an application to water quality prediction
Information Sciences: an International Journal
Predicting the Presence of Oil Slicks After an Oil Spill
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
A WeVoS-CBR Approach to Oil Spill Problem
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Applying adaptive prediction to sea-water quality measurements
Expert Systems with Applications: An International Journal
Forecasting the probability of finding oil slicks using a CBR system
Expert Systems with Applications: An International Journal
A new CBR approach to the oil spill problem
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
A Hybrid Solution for Advice in the Knowledge Management Field
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Combinations of case-based reasoning with other intelligent methods
International Journal of Hybrid Intelligent Systems - CIMA-08
A forecasting solution to the oil spill problem based on a hybrid intelligent system
Information Sciences: an International Journal
Maximum likelihood hebbian learning based Retrieval method for CBR systems
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Neural business control system
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
Incorporating temporal-bounded CBR techniques in real-time agents
Expert Systems with Applications: An International Journal
CROS: A Contingency Response multi-agent system for Oil Spills situations
Applied Soft Computing
Autonomous internal control system for small to medium firms
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Red tides prediction system using fuzzy reasoning and the ensemble method
Applied Intelligence
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A hybrid neuro-symbolic problem-solving model is presented in which the aim is to forecast parameters of a complex and dynamic environment in an unsupervised way. In situations in which the rules that determine a system are unknown, the prediction of the parameter values that determine the characteristic behaviour of the system can be a problematic task. In such a situation, it has been found that a hybrid case-based reasoning system can provide a more effective means of performing such predictions than other connectionist or symbolic techniques. The system employs a case-based reasoning model to wrap a growing cell structures network, a radial basis function network and a set of Sugeno fuzzy models to provide an accurate prediction. Each of these techniques is used at a different stage of the reasoning cycle of the case-based reasoning system to retrieve historical data, to adapt it to the present problem and to review the proposed solution. This system has been used to predict the red tides that appear in the coastal waters of the north west of the Iberian Peninsula. The results obtained from experiments, in which the system operated in a real environment, are presented.