Multi-level fuzzy min-max neural network classifier

IEEE Transactions on Neural Networks and Learning Systems

Volumn 25, Issue 3, 2014, Pages 470-482

  Davtalab, Reza ^a   Dezfoulian, Mir Hossein ^a   Mansoorizadeh, Muharram ^a  

^a BU ALI SINA UNIVERSITY   (Iran)

Author keywords

Classification; fuzzy min max; hyperbox; machine learning; neural networks; neurofuzzy; neuron; supervised learning

Indexed keywords

FUZZY MIN-MAX NEURAL NETWORKS; HYPERBOX; MIN-MAX; MULTI-LEVEL STRUCTURES; NEURO-FUZZY; NONLINEAR BOUNDARY; OVERLAPPING REGIONS; SUPERVISED LEARNING METHODS;

CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS; NEURONS; SUPERVISED LEARNING;

NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; FUZZY LOGIC; HUMAN; LEARNING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FUZZY LOGIC; HUMANS; LEARNING; NEURAL NETWORKS (COMPUTER);

EID: 84897647724     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2013.2275937     Document Type: Article

References (31)

1. A. Bargiela, W. Pedrycz, and M. Tanaka, "Exclusion/inclusion fuzzy classification network," in Knowledge-Based Intelligent Information and Engineering Systems. New York, NY, USA: Springer-Verlag, 2003, pp. 1236-1241. (Pubitemid 37230812)
2. A. Bargiela, W. Pedrycz, and M. Tanaka, "An inclusion/exclusion fuzzy hyperbox classifier," Int. J. Knowl. Based Intell. Eng. Syst., vol. 8, no. 2, pp. 91-98, 2004. (Pubitemid 39305969)
3. J. C. Bezdek and S. K. Pal, Fuzzy Models for Pattern Recognition. New York, NY, USA: IEEE Press, 1992.
4. R. Davtalab, M. Parchami, M. H. Dezfoulian, M. Mansourizade, and B. Akhtar, "M-FMCN: Modified fuzzy min-max classifier using compensatory neurons," in Proc. 11th WSEAS Int. Conf. Artif. Intell., Knowl. Eng. Data Bases, 2012, pp. 77-82.
5. A. Frank and A. Asuncion. (2010). UCI Machine Learning Repository [Online]. Available: http://www.ics.uci.edu/~mlearn/MLRepository.html
6. B. Gabrys and A. Bargiela, "General fuzzy min-max neural network for clustering and classification," IEEE Trans. Neural Netw., vol. 11, no. 3, pp. 769-783, May 2000.
7. N. P. Jawarkar, R. S. Holambe, and T. K. Basu, "Use of fuzzy minmax neural network for speaker identification," in Proc. ICRTIT, 2011, pp. 178-182.
8. A. Joshi, N. Ramakrishman, E. N. Houstis, and J. R. Rice, "On neurobiological, neuro-fuzzy, machine learning, and statistical pattern recognition techniques," IEEE Trans. Neural Netw., vol. 8, no. 1, pp. 18-31, Jan. 1997. (Pubitemid 127767777)
9. H. J. Kim, J. Lee, and H. S. Yang, "A weighted FMM neural network and its application to face detection," in Neural Information Processing. New York, NY, USA: Springer-Verlag, 2006, pp. 177-186. (Pubitemid 44699723)
10. M. Kumar, R. Stoll, and N. Stoll, "A min-max approach to fuzzy clustering, estimation, and identification," IEEE Trans. Fuzzy Syst., vol. 14, no. 2, pp. 248-262, Apr. 2006.
11. L. I. Kuncheva, Combining Pattern Classifiers: Methods and Algorithms. New York, NY, USA: Wiley, 2004.
12. Y.-Y. Lin, J.-Y. Chang, and C.-T. Lin, "Identification and prediction of dynamic systems using an interactively recurrent self-evolving fuzzy neural network," IEEE Trans. Neural Netw. Learn. Syst., vol. 24, no. 2, pp. 310-321, Feb. 2013.
13. M. Meneganti, F. S. Saviello, and R. Tagliaferri, "Fuzzy neural networks for classification and detection of anomalies," IEEE Trans. Neural Netw., vol. 9, no. 5, pp. 848-861, Sep. 1998. (Pubitemid 128743651)
14. A. Miranian and M. Abdollahzade, "Developing a local least-squares support vector machines-based neuro-fuzzy model for nonlinear and chaotic time series prediction," IEEE Trans. Neural Netw. Learn. Syst., vol. 24, no. 2, pp. 207-218, Feb. 2013.
15. A. Nandedkar and P. Biswas, "Object recognition using reflex fuzzy min-max neural network with floating neurons," in Computer Vision, Graphics and Image Processing. New York, NY, USA: Springer-Verlag, 2006, pp. 597-609.
16. A. V. Nandedkar, "An interactive shadow detection and removal tool using granular reflex fuzzy min-max neural network," in Proc. World Congr. Eng., vol. 2. 2012.
17. A. V. Nandedkar and P. K. Biswas, "A fuzzy min-max neural network classifier with compensatory neuron architecture," in Proc. 17th ICPR, vol. 4. 2004, pp. 553-556.
18. A. V. Nandedkar and P. K. Biswas, "A fuzzy min-max neural network classifier with compensatory neuron architecture," IEEE Trans. Neural Netw., vol. 18, no. 1, pp. 42-54, Jan. 2007. (Pubitemid 46062915)
19. A. V. Nandedkar and P. K. Biswas, "A granular reflex fuzzy min-max neural network for classification," IEEE Trans. Neural Netw., vol. 20, no. 7, pp. 1117-1134, Jul. 2009.
20. A. Quteishat and C. Lim, "A modified fuzzy min-max neural network and its application to fault classification," in Soft Computing in Industrial Applications. New York, NY, USA: Springer-Verlag, 2007, pp. 179-188.
21. A. Quteishat and C. Lim, "Application of the fuzzy min-max neural networks to medical diagnosis," in Knowledge-Based Intelligent Information and Engineering Systems. New York, NY, USA: Springer-Verlag, 2008, pp. 548-555.
22. A. Quteishat, C. P. Lim, and K. S. Tan, "A modified fuzzy min-max neural network with a genetic-algorithm-based rule extractor for pattern classification," IEEE Trans. Syst., Man Cybern. A, Syst. Humans, vol. 40, no. 3, pp. 641-650, May 2010.
23. P. Rey-del-Castillo and J. Cardeñosa, "Fuzzy min-max neural networks for categorical data: Application to missing data imputation," Neural Comput. Appl., vol. 21, no. 6, pp. 1349-1362, 2012.
24. M. Seera, C. P. Lim, D. Ishak, and H. Singh, "Fault detection and diagnosis of induction motors using motor current signature analysis and a hybrid FMM-CART model," IEEE Trans. Neural Netw. Learn. Syst., vol. 23, no. 1, pp. 97-108, Jan. 2012.
25. P. K. Simpson, "Fuzzy min-max neural networks. I. Classification," IEEE Trans. Neural Netw., vol. 3, no. 5, pp. 776-786, Sep. 1992.
26. H. Singh, M. Z. Abdullah, and A. Qutieshat, "Detection and classification of electrical supply voltage quality to electrical motors using the fuzzy-min-max neural network," in Proc. IEEE IEMDC, May 2011, pp. 961-965.
27. R. Tagliaferri, A. Eleuteri, M. Meneganti, and F. Barone, "Fuzzy min-max neural networks: From classification to regression," Soft Comput. A Fusion Found., Methodol. Appl., vol. 5, no. 1, pp. 69-76, 2001. (Pubitemid 33234903)
28. D. Ma, J. Liu, and Z. Wang, "The pattern classification based on fuzzy min-max neural network with new algorithm," in Advances in Neural Networks (Lecture Notes in Computer Science), vol. 7368, J. Wang, G. G. Yen, and M. M. Polycarpou, Eds. Berlin Heidelberg, Germany: Springer-Verlag, 2012, pp. 1-9.
29. R.-J. Wai and R. Muthusamy, "Fuzzy-neural-network inherited slidingmode control for robot manipulator including actuator dynamics," IEEE Trans. Neural Netw. Learn. Syst., vol. 24, no. 2, pp. 274-287, Feb. 2013.
30. L.A. Zadeh, "Fuzzy sets," Inf. Control, vol. 8, no. 3, pp. 338-353, 1965.
31. H. Zhang, J. Liu, D. Ma, and Z.Wang, "Data-core-based fuzzy min-max neural network for pattern classification," IEEE Trans. Neural Netw., vol. 22, no. 12, pp. 2339-2352, Dec. 2011.