Decision support systems using hybrid neurocomputing

Authors:
Cong Tran;Ajith Abraham;Lakhmi Jain
Affiliations:
School of Electrical and Information Engineering, University of South Australia, Australia;Department of Computer Science, Oklahoma State University, 700 N Greenwood Avenue, Tulsa, OK;School of Electrical and Information Engineering, University of South Australia, Australia
Venue:
Design and application of hybrid intelligent systems
Year:
2003

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Abstract

This paper suggests a decision support system for tactical air combat environment where not much prior information is available about the decision regions. We proposed a combination of unsupervised learning for clustering the data (to develop decision regions) and a feed forward neural network to classify the decision regions accurately. The clustered data is used as the inputs to the multi-layered feed forward neural network trained using several higher order learning paradigms. Experiment results reveal that the proposed method is efficient.