GFAM: Evolving Fuzzy ARTMAP neural networks

Neural Networks

Volumn 20, Issue 8, 2007, Pages 874-892

  Al Daraiseh, Ahmad ^a   Kaylani, Assem ^a   Georgiopoulos, Michael ^a   Mollaghasemi, Mansooreh ^b   Wu, Annie S ^a   Anagnostopoulos, Georgios ^c  

^a University of Central Florida   (United States)

^b UNIVERSITY OF CENTRAL FLORIDA   (United States)

^c NONE   (United States)

Author keywords

ARTMAP; Category proliferation; Classification; Genetic algorithms; Genetic operators; Machine learning

Indexed keywords

COMPUTATIONAL METHODS; FUZZY SETS; GENETIC ALGORITHMS; LEARNING SYSTEMS; OPTIMIZATION; PROBLEM SOLVING;

ARTMAP; CATEGORY PROLIFERATION; GENETIC OPERATORS;

NEURAL NETWORKS;

ARCHITECTURE; ARTICLE; EVOLUTIONARY ALGORITHM; FUZZY SYSTEM; GENETIC ALGORITHM; GENETIC ENGINEERING; IMAGE PROCESSING; MACHINE LEARNING; NERVE CELL NETWORK; POPULATION; PRIORITY JOURNAL; STOCHASTIC MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; COMPUTING METHODOLOGIES; FUZZY LOGIC; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; SOFTWARE; SOFTWARE VALIDATION;

EID: 34848906875     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2007.05.006     Document Type: Article

References (45)

1. Anagnostopoulos, G. C. (2001). Novel approaches in adaptive resonance theory for machine learning. Doctoral Thesis. Orlando, FL: University of Central Florida
2. Anagnostopoulos, G. C., Bharadwaj, M., Georgiopoulos, M., Verzi, S. J., & Heileman, G. L. (2003). Exemplar-based pattern recognition via semi-supervised learning. In Proc. of the international joint conference on neural networks (pp. 2782-2787): Vol. 4
3. Anagnostopoulos, G. C., & Georgiopoulos, M. (2001). Ellipsoid ART and ARTMAP for incremental clustering and classification. In Proceedings of the IEEE-INNS international joint conference on neural networks (pp. 1221-1226)
4. Anagnostopoulos G.C., and Georgiopoulos M. Category regions as new geometrical concepts in Fuzzy ART and Fuzzy ARTMAP. Neuarl Networks 15 10 (2002) 1205-1221
5. Anagnostopoulos, G. C., Georgiopoulos, M., Verzi, S. J., & Heileman, G. L. (2002). Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: Boosted Ellipsoid ARTMAP. In Proc. of the international joint conference on neural networks
6. Bala J., De Jong K., Huang J., Vafaie H., and Wechsler H. Using learning to facilitate the evolution of features for recognizing visual concepts. Evolutionary Computation 4 3 (1996) 297-311
7. Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984). Classification and regression trees. Wadsworth
8. Brotherton T.W., and Simpson P.K. Dynamic feature set training of neural nets for classification. In: McDonnel J.R., Reynolds R.G., and Fogel D.B. (Eds). Evolutionary programming Vol. IV (1995), MIT Press, Cambridge, MA 83-94
9. Burton, A. R, & Vladimirova, T. (1997). Utilisation of an adaptive resonance theory neural network as a genetic algorithm fitness evaluator. In Proceedings of the 1997 IEEE international symposium on information theory (pages 209)
10. Cantu-Paz E. Feature sub-set selection by estimation of distribution algorithms. In: Langdon W.B., Cantu-Paz E., Mathias K., Roy R., Davis D., Poli R., Balakrishna K., Honavar V., Rudolph G., Wegener J., Bull L., Potter M.A., Schultz A.C., Miller J.F., Burke E., and Jonoska N. (Eds). GECCO 2002: Proceedings of the genetic and evolutionary computation conference (2002), Morgan Kaufmann Publishers, San Francisco, CA 302-310
11. Carpenter G.A., Grossberg S., Markuzon N., and Reynolds J.H. Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multi-dimensional maps. IEEE Transactions on Neural Networks 3 5 (1992) 698-713
12. Carpenter G.A., Grossberg S., and Rosen D.B. Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Networks 4 (1991) 759-771
13. Carpenter G.A., and Milenova B. Distributed ARTMAP: A neural network for fast distributed supervised learning. Neural Networks 11 2 (1998) 323-336
14. Charalampidis D., Kasparis T., and Georgiopoulos M. Classification of noisy signals using Fuzzy ARTMAP neural networks. IEEE Transactions on Neural Networks 12 5 (2001) 1023-1036
15. Georgiopoulos M., Huang J., and Heileman G.L. Properties of learning in ARTMAP. Neural Networks 7 3 (1994) 495-506
16. Goldberg D.E. Genetic algorithms in search, optimization, and machine learning (1989), Addison-Wesley, Reading, MA
17. Gomez-Sanchez E., Dimitriadis Y.A., Cano-Izquierdo J.M., and Lopez-Coronado J. Safe-μARTMAP: A new solution for reducing category proliferation in Fuzzy ARTMAP. Proc. of the IEEE International joint conference on neural networks Vol. 2 (2001) 1197-1202
18. Gomez-Sanchez E., Dimitriadis Y.A., Cano-Izquierdo J.M., and Lopez-Coronado J. μARTMAP: Use of mutual information for category reduction in Fuzzy ARTMAP. IEEE Transactions on Neural Networks 13 1 (2002) 58-69
19. Grossberg S. Adaptive pattern recognition and universal recoding II: Feedback, expectation, olfaction, and illusions. Biological Cybernetics 23 (1976) 187-202
20. Hancock P.J.B. Pruning neural networks by genetic algorithm. In: Aleksander I., and Taylor J. (Eds). Proceedings of the 1992 international conference on neural networks Vol. 2 (1992), Elsevier Science, Amsterdam, The Netherlands 991-994
21. Hancock P.J.B., Smith L.S., and Phillips W.A. A biologically supported errr-correcting learning rule. In: Kohonen T., Makisara K., Simula O., and Kangas J. (Eds). Proceedings international conference on artificial neural networks Vol. 1 (1991), North Holland, Amsterdam, The Netherlands 531-536
22. Harp S.A., Samad T., and Guha A. Towards the genetic synthesis of neural networks. Proceedings of the third international conference on genetic algorithms (1989), Morgan Kaufmann
23. Inza I., Larranaga P., Etxeberria R., and Sierra B. Feature sub-set selection by Bayesian networks based optimization. Artificial Intelligence 123 1-2 (1999) 157-184
24. Kasuba T. Simplified Fuzzy ARTMAP. AI Expert (1993) 18-25
25. Kelly, J. D. Jr., & Davis, L. (1991). Hybridizing the genetic algorithm and the K nearest neighbors classification algorithm. In ICGA 1991 (pp. 377-383)
26. Koufakou A., Georgiopoulos M., Anagnostopoulos G.C., and Kasparis T. Cross-validation in Fuzzy ARTMAP for large databases. Neural Networks 14 (2001) 1279-1291
27. Lim T., Loh W., and Shih Y. A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Machine Learning 40 (2000) 203-229
28. Liu, H., Liu, Y., Liu, J., Zhang, B., & Wu, G. (2003). Impulse force based ART network with GA optimization. In Neural networks and signal processing. (Proceedings of the 2003 international conference on neural networks and signal processing) (pp. 499-502): Vol. 1
29. Marin F.J., and Sandoval F. Genetic synthesis of discrete-time recurrent neural networks. Proceedings international workshop artificial neural networks (IWANN 1993). Lecture notes in computer science Vol. 686 (1993), Springer-Verlag, Berlin, Germany
30. Marriott S., and Harrison R.F. A modified Fuzzy ARTMAP architecture for the approximation of noisy mappings. Neural Networks 8 4 (1995) 619-641
31. Miller, G. F., Todd, P. M., & Hedge, S. U. (1989). Designing neural networks using genetic algorithms. In: J. D. Scaffer (Ed.) Proceedings of the third international conference on genetic algorithms. San Mateo, CA: Morgan Kaufmann
32. Newman, D. J., Hettich, S., Blake, C. L., & Merz, C. J. (1998). UCI repository of machine learning databases http://www.ics.uci.edu/~mlearn/MLRepository.html. Irvine, CA: University of California, Department of Information and Computer Science
33. Palmes P.P., Hayasaka T., and Usui S. Mutation-based genetic neural network. IEEE Transactions on Neural Networks 16 3 (2005)
34. Parrado-Hernandez E., Gomez-Sanchez E., and Dimitriadis Y.A. Study of distributed learning as a solution to category proliferation in Fuzzy ARTMAP-based neural systems. Neural Networks 16 (2003) 1039-1057
35. Punch, W. F., Goodman, E. D., ChiaShun, M. P. L., Hovland, P., & Enbody, R. (1993). Further research on feature selection and classification using genetic algorithms. In International conference on genetic algorithms 93 (pp. 557-564)
36. Sexton R.S., Dorsey R.E., and Jonson J.D. Toward global optimization of neural networks: A comparison of the genetic approach and back-propagation. Decision Support Systems 22 2 (1998) 171-185
37. Siedlecki W., and Sklansky J. A note on genetic algorithms for large-scale feature selection. Pattern Recognition Letters 10 (1989) 335-347
38. Taghi M., Bagmisheh V., and Pavesic N. A fast simplified fuzzy artmap network. Neural Processing Letters 17 3 (2003) 273-316
39. Verzi, S. J., Heileman, G. L., Georgiopoulos, M., & Healy, M. (2001). Rademacher penalization applied to Fuzzy ARTMAP and boosted ARTMAP. In Proc. of the IEEE-INNS international joint conference on neural network (pp. 1191-1196)
40. Whitley D., Starkweather T., and Bogart C. Genetic algorithms and neural networks: Optimizing connections and connectivity. Parallel Computing 14 (1990) 347-361
41. Williamson J.R. Gaussian ARTMAP: A neural network for fast incremental learning of noisy multi-dimensional maps. Neural Networks 9 5 (1996) 881-897
42. Williamson J.R. A constructive, incremental-learning network for mixture modeling and classification. Neural Computation 9 (1997) 1517-1543
43. Yang J., and Honavar V. Feature subset selection using genetic algorithms. IEEE Intelligent Systems 13 (1998) 44-49
44. Yao X. Evolving artificial neural networks. Proceedings of the IEEE 87 9 (1999) 1423-1447
45. Yao X., and Liu Y. Making use of a population information in evolutionary artificial neural networks. IEEE Transactions on Systems, Man and Cybernetics, B 28 (1998) 417-425