Abstract
This paper describes a neural network-based classification tool that can be deployed for data-based decision support tasks. In particular, the Fuzzy ARTMAP (FAM) network is investigated, and a new pruning technique is proposed. The pruning technique is implemented successively to eliminate those rarely activated nodes in the category layer of FAM. Three data sets with different characteristics are used to analyze its effectiveness. In addition, a benchmark medical problem is used to evaluate its applicability as a decision support tool for medical diagnosis. From the experiment, the pruning technique is able to improve classification performances, as compared with those of to the original FAM network, as well as other machine learning methods. More importantly, the pruning technique yields more stable performances with fewer nodes, and results in a more parsimonious FAM network for undertaking data classification and decision support tasks.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abonyi, J., Szeifert, F.: Supervised fuzzy clustering for the identification of fuzzy classifiers. Pattern Recognition Letter 24, 2195–2207
Anagnostopoulos, G.C., et al.: Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: boosted ellipsoid ARTMAP. In: International Joint Conference on Neural Networks, vol. 3, pp. 2650–2655 (2002)
Blake, C.L., Merz, C.J.: UCI Repository of Machine Learning Databases, University of California at Irvine (cited March 15, 2008), http://www.ics.uci.edu/~mlearn/MLRepository.html
Bouchachia, A., Gabrys, B., Sahel, Z.: Overview of Some Incremental Learning Algorithms. In: IEEE International Fuzzy Systems Conference, 2007, pp. 1–6 (2007)
Carpenter, G.A., Grossberg, S., Markuzon, N., Reynolds, J.H., Rosen, D.B.: Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps. IEEE Transactions on Neural Networks 3, 698–713
Carpenter, G.A., Grossberg, S., Markuzon, N., Reynolds, J.H., Rosen, D.B.: Fuzzy ARTMAP: An adaptive resonance architecture for incremental learning of analog maps. In: International Joint Conference on Neural Networks, vol. 3, pp. 309–314 (1992)
Dong, C.S.J., Loo, G.S.L.: Flexible web-based decision support system generator (FWDSSG) utilising software agents. In: 12th International Workshop on Database and Expert Systems Applications, pp. 892–897 (2001)
Le, Q., Anagnostopoulos, G.C., Georgiopoulos, M., Ports, K.: An experimental comparison of semi-supervised ARTMAP architectures, GCS and GNG classifiers. In: IEEE International Joint Conference on Neural Networks, 2005, vol. 5, pp. 3121–3126 (2005)
Sanchez, E.G., Dimitriadis, Y.A., Cano-Izquierdo, J.M., Lopez-Coronado, J.: μARTMAP: use of mutual information for category reduction in Fuzzy ARTMAP. IEEE Transactions on Neural Networks 13, 58–69
Verleysen, M., Bodt, E.D., Wertz, V.: UCL Neural Network Group, Université catholique de L-ouvain (Cited March 15, 2008), http://www.dice.ucl.ac.be/neural-nets/Research/Projects/ELENA/elena.htm
Vigdor, B., Lerner, B.: The Bayesian ARTMAP. IEEE Transactions on Neural Networks 18, 1628–1644
Wee, C.Y., Paramesran, R., Takeda, F., Tsuzuki, T., Kadota, H., Shimanouchi, S.: Classification of rice grains using Fuzzy Artmap neural network. In: Asia-Pacific Conference on Circuits and Systems, vol. 2, pp. 223–226
Zhong, M., Rosander, B., Georgiopoulos, M., Anagno-stopoulos, G.C., Mollaghasemi, M., Richie, S.: Experiments with Safe ARTMAP and Comparisons to Other ART Networks. In: International Joint Conference on Neural Networks, pp. 720–727 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
N.Y, S., Jain, L., Lim, C.P. (2009). A New Pruning Technique for the Fuzzy ARTMAP Neural Network and Its Application to Medical Decision Support. In: Nakamatsu, K., Phillips-Wren, G., Jain, L.C., Howlett, R.J. (eds) New Advances in Intelligent Decision Technologies. Studies in Computational Intelligence, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00909-9_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-00909-9_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00908-2
Online ISBN: 978-3-642-00909-9
eBook Packages: EngineeringEngineering (R0)