Adaptive hybrid system architecture for forecasting

Authors:
Juan M. Corchado
Affiliations:
Computing and Information System Department, University of Paisley, Paisley, PA
Venue:
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Year:
1997

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Abstract

The aim of the research is to combine Symbolic Artificial Intelligence (AI) (Case Base Reasoning systems) and Connectionist AI (particularly Radial Basis Functions Multi-layer Perceptron and Neuro-fuzzy Algorithms) to develop an improved joint approach to forecasting. New ways to combine Connectionist and Symbolic AI techniques to obtain stronger, more flexible and more adaptive forecasting systems are being investigated.