참고문헌
- Takeshi Yamakawa, "A Neo Fuzzy Neuron and Its Applications to System Identification and Prediction of the System Behavior", Proceedings of the 2nd International Conference on Fuzzy logic & Neural Networks, pp. 477-483, 1992.
- J. J. Buckley and Y. Hayashi, "Fuzzy neural networks: A survey", Fuzzy Sets and Systems, vol. 66, pp. 1-13, 1994. https://doi.org/10.1016/0165-0114(94)90297-6
- J.-S. R. Jang, C. -T. Sun, E. Mizutani, "Neuro- Fuzzy And Soft Computing", Prentice-Hall, 1997.
- Y.-H. Han, K.-C. Kwak, "An Optimization Design of Granular Network by GA and Information Granules", Journal of Korean Institute of Information Technology, vol. 8, no. 7, pp. 81-87, Oct 2010.
- I.-K. Park "A Study on the Prediction of the Nonlinear Chaotic Time Series Using Genetic Algorithm based Fuzzy Neural Network", Journal of the Institute of Webcasting Internet and Telecommunication, vol. 11, no. 4, pp. 91-97, Apr 2011.
- K.-J. Park, D.-Y. Lee, "Design of Fuzzy Neural Networks Based on Fuzzy Clustering and Its Application", Journal of Korea Academia-Industrial cooperation Society, vol. 14, no. 1, pp. 378-384, Jan 2013. https://doi.org/10.5762/KAIS.2013.14.1.378
- D. E. Golderg, "Genetic Algorithm in search, Optimization & Machine Learning", Addison wesley, 1989.
- UCI Machine Learning Repository: Data Sets, http://archive.ics.uci.edu
- P. K. Simpson, "Fuzzy Min-Max Neural Networks -Part 1 : Classification", IEEE Trans on. Neural Networks, vol. 3, no. 5, 1992.
- D. Nauck, R. Kruse, "A neuro-fuzzy method to learn fuzzy classification rules from data", Fuzzy Sets and Systems, vol. 89, pp. 277-288, 1997. https://doi.org/10.1016/S0165-0114(97)00009-2
- P. Meesad, G. G. Yen, "Pattern classification by a neurofuzzy network : application to vibration monitoring", ISA Transactions, vol. 39, pp. 293- 308, 2000. https://doi.org/10.1016/S0019-0578(00)00027-6
- G. G. Yen, P. Meesad, "An effective neuro-fuzzy paradigm for machinery condition health monitoring", IEEE Trans. on Systems, Man, and Cybern., : Part B, vol.31, no.4, 2001.
- R. Li, M. Mukaidono and I.B. Turksen, "A fuzzy neural network for pattern classification and feature selection", Fuzzy Sets and Systems, vol. 130, pp. 101-140, 2002. https://doi.org/10.1016/S0165-0114(02)00050-7
- V. Vapnik, "The Nature of Statistical Learning Theory. New York" Springer-Verlag, 1995
- F. Jensen, "An Introduction to Bayesian Networks", UCL Press/Springer-Verlag, 1996
- M. E. Tipping, "The relevance vector machine", Adv. Neural Inf. Process. Syst., vol. 12, pp. 652- 658, 2000
- R. O. Duda, and P. E. Hart, "Pattern Classification and Scene Analysis", New York: Wiley, 2002
- H. A. Abbass, "An evolutionary artificial neural networks approach for breast cancer diagnosis", Artif Intell in Med, vol. 25, no. 3, pp. 265-281, 2002 https://doi.org/10.1016/S0933-3657(02)00028-3
- I. Anagnostopoulos, and I. Maglogiannis, "Neural network-based diagnostic and prognostic estimations in breast cancer microscopic instances", Medical & Biological Engineering & Computing Springer Publishers, vol. 44, no. 9, pp. 773-784, 2006 https://doi.org/10.1007/s11517-006-0079-4
- Z. R. Young, "A Novel Radial Basis Function Neural Network for Discriminant Analysis", IEEE Trans. Neural Networks, vol. 17, no. 3, pp. 604-612, 2006 https://doi.org/10.1109/TNN.2006.873282
피인용 문헌
- Video-based Facial Emotion Recognition using Active Shape Models and Statistical Pattern Recognizers vol.14, pp.3, 2014, https://doi.org/10.7236/JIIBC.2014.14.3.139