A novel approach to classificatory problem using neuro-fuzzy architecture

International Journal of Systems, Control and Communications

Volumn 3, Issue 3, 2011, Pages 259-269

  Kala, Rahul ^a   Shukla, Anupam ^a   Tiwari, Ritu ^a  

^a INDIAN INSTITUTE OF INFORMATION TECHNOLOGY AND MANAGEMENT   (India)

Author keywords

Artificial neural network; Classification; Clustering; Fuzzy logic; Machine learning; Neuro fuzzy networks; Pattern matching

Indexed keywords

EID: 84861371737     PISSN: 17559340     EISSN: 17559359     Source Type: Journal    
DOI: 10.1504/IJSCC.2011.042432     Document Type: Article

References (21)

1. Amin, F. and Murase, K. (2008) 'Single-layered complex-valued neural network for real-valued classification problems', Neurocomputing, doi:10.1016/j.neucom.2008.04.006.
2. Ang, J.H., Tan, K.C. and Al-Mamun, A. (2008) 'Training neural networks for classification using growth probability-based evolution', Neurocomputing, Vol. 71, Nos. 16-18, pp.493-508.
3. Chaudhuri, B.B. and Bhattacharya U. (2000) 'Efficient training and improved performance of multilayer perceptron in pattern classification', Neurocomputing, Vol. 34, pp.11-27. (Pubitemid 30657700)
4. Draghici, S. (1997) 'A neural network based artificial vision system for license plate recognition', International Journal of Network Security, International Journal of Neural Systems, Vol. 8, No. 1, pp.113-126.
5. Er, M.J. and Zhou, Y. (2008) 'A novel framework for automatic generation of fuzzy neural networks', Elsevier Journal of Neurocomputing, Vol. 71, pp.584-591. (Pubitemid 351168447)
6. Fink, G.A. and Plötz, T. (2006) 'Unsupervised estimation of writing style models for improved unconstrained off-line handwriting recognition', Proceedings of the International Workshop on Frontiers in Handwriting Recognition, October, La Baule, France, pp.429-434.
7. Graves, A., Fernandez, S., Liwicki, M., Bunke, H. and Schmidhuber, J. (2008) 'Unconstrained online handwriting recognition with recurrent neural networks', Advances in Neural Information Processing Systems, Vol. 20, pp.577-584.
8. Grigore, O. and Gavat, I. (1998) 'Neuro-fuzzy models for speech pattern recognition in Romanian language', CONTI,'98 Proceedings, Timisoara, Romania, pp.165-172.
9. Hewavitharana, S., Fernando, H.C. and Kodikara, N.D. (2002) 'Off-line Sinhala handwriting recognition using hidden Markov models', Proc. of Indian Conference on Computer Vision, Graphics & Image Processing (ICVGIP) 2002, Ahmedabad, India, pp.266-269.
10. Kak, S.C. (1998) 'On generalization by neural networks', Elsevier Journal of Information Sciences, Vol. 111, pp.293-302. (Pubitemid 128383900)
11. Lee, S.G., Han J.G., Chi, K.H., Suh, J.Y., Lee, H.H., Miyazaki, M. and Akizuki, K. (1999) 'A neuro-fuzzy classifier for land cover classification', IEEE International Fuzzy Systems Conference Proceedings, 22-25 August, Seoul, Korea.
12. Lin, C.J., Chung, I.F. and Chen, C.H. (2007) 'An entropy-based quantum neuro-fuzzy inference system for classification applications', Neurocomputing, Vol. 70, pp.2502-2516. (Pubitemid 46825361)
13. Mu, C.S., Chien, H.C., Eugene, L. and Jonathan, L. (2006) 'A new approach to fuzzy classifier systems and its application in self-generating neuro-fuzzy systems', Neurocomputing, Vol. 69, pp.586-614.
14. Pinero, P., Garcia, P., Arco, L., Álvarez, A., García, M.M. and Bonal, R. (2004) 'Sleep stage classification using fuzzy sets and machine learning techniques', Neurocomputing, Vols. 58-60, pp.1137-1143. (Pubitemid 38684373)
15. Rajagopal, P. (2003) The Basic Kak Neural Network with Complex Inputs, Master of Science in Electrical Engineering Thesis, University of Madras, Madras, India.
16. Sandhu, P.S., Salaria, D.S. and Singh, H. (2008) 'A comparative analysis of fuzzy, neuro-fuzzy and fuzzy-GA based approaches for software reusability evaluation', Proceedings of Worlds Academy of Science, Engineering and Technology, Vol. 39, May, pp.342-345, ISSN 1307-6884.
17. Shi, D., Shu, W. and Liu, H. (1998) 'Feature selection for handwritten chinese character recognition based on genetic algorithms', Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 5, San Diego, CA, USA, pp.4201-4206.
18. Som, T. and Saha, S. (2008) 'Handwritten character recognition by using neural-network and Euclidean distance metric', Social Science Research Network, Available at SSRN: Http://ssrn.com/abstract=1118755
19. Soryani, M. Rafat, N. (2006) 'Application of genetic algorithms to feature subset selection in a Farsi OCR', Proceedings of World Academy of Science, Engineering and Technology, Vol. 18, December, pp.113-116, ISSN 1307-6884.
20. Taur, J.S. and Tao, C.W. (2000) 'A new neuro-fuzzy classifier with application to on-line face detection and recognition', Journal of VLSI Signal Processing, Vol. 26, pp.397-409.
21. Vieira, A. and Barradas, N. (2003) 'A training algorithm for classification of high-dimensional data', Neurocomputing, Appendix: Springer-Author Discount, Vol. 50, pp.461-472. (Pubitemid 36124156)