Efficient GA based techniques for automating the design of classification models

Author:

Glover Robin,Sharpe Peter

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. I Kuscu, C Thornton: “Design of Artificial Neural Networks using Genetic Algorithms: review and prospect”, Technical Report, Cognitive and Computing Sciences, University of Sussex (1994)

2. F Brill, D Brown et al.: ”Fast genetic selection of features for neural network classifiers”, IEEE Transactions on Neural Networks, Vol.3 No.2 (1992) 324–328.

3. S Salzberg: ”A Critique of Current Research and Methods”, Technical Report JHU-95/06, John Hopkins University, Department of Computer Science. (1995).

4. R Forsyth: ”IOGA: An Instance-Oriented Genetic algorithm”, Parallel Problem Solving from Nature 4, (1996) 482–493.

5. J Kelly, L Davis: ”A hybrid genetic algorithm for classification.”, Proceedings of the Twelfth International Joint conference on Artificial Intelligence, Morgan Kaufmann (1991) 1022–1029.

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