A CONCURRENT NEURAL NETWORK - GENETIC PROGRAMMING MODEL FOR DECISION SUPPORT SYSTEMS

Ajith Abraham, Crina Grosan, Cong Tran and Lakhmi Jain
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Ajith Abraham: School of Computer Science and Engineering, Chung-Ang University, Korea
Crina Grosan: Department of Computer Science, Babes-Bolyai University, Cluj-Napoca, Romania
Cong Tran: School of Electrical and Information Engineering, University of South Australia, Australia
Lakhmi Jain: School of Electrical and Information Engineering, University of South Australia, Australia

Chapter 20 in Knowledge Management:Nurturing Culture, Innovation, and Technology, 2005, pp 231-245 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractThis paper suggests a decision support system for tactical air combat environment using a combination of unsupervised learning for clustering the data and three well known genetic programming techniques to classify the different decision regions accurately. The genetic programming techniques used are: Linear Genetic programming (LGP), Multi Expression Programming (MEP) and Gene Expression Programming (GEP). The clustered data is used as the inputs to the genetic programming algorithms. Some simulation results demonstrating the difference of these techniques and are also performed. Experiment results reveal that the proposed method is efficient.

Keywords: Knowledge Management; Knowledge Sharing; Knowledge Discovery; KM Tools and Technologies; Communication and Organization Culture (search for similar items in EconPapers)
Date: 2005
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