참고문헌
- C. T. Lin and C. S. G. Lee, Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent System, Prentice-Hall, NJ, 1996
- J. S. R. Jang, "ANFIS: Adaptive-network-based fuzzy inference system," IEEE Trans. on Systems, Man, and Cybernetics, vol. 23, no. 3, pp. 665-685, 1993 https://doi.org/10.1109/21.256541
- C. J. Lin and C. T. Lin, "Reinforcement learning for an ART-based fuzzy adaptive learning control network," IEEE Trans. Neural Networks, vol. 7, pp. 709-731, June 1996 https://doi.org/10.1109/72.501728
- C. F. Juang and C. T. Lin, "An on-line selfconstructing neural fuzzy inference network and its applications," IEEE Trans. on Fuzzy Systems, vol. 6, no. 1, pp. 12-31, Feb. 1998 https://doi.org/10.1109/91.660805
- F. J. Lin, C. H. Lin, and P. H. Shen, "Selfconstructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive," IEEE Trans. on Fuzzy Systems, vol. 9, pp. 751-759, Oct. 2001 https://doi.org/10.1109/91.963761
- K. S. Narendra and K. Parthasarathy, "Identification and control of dynamical systems using neural networks," IEEE Trans. on Neural Networks, vol. 1, pp. 4-27, 1990 https://doi.org/10.1109/72.80202
- C. F. Juang and C. T. Lin, "A recurrent selforganizing neural fuzzy inference network," IEEE Trans. on Neural Networks, vol. 10, no. 4, pp. 828-845, July 1999 https://doi.org/10.1109/72.774232
- F. J. Lin and R. J. Wai, "Hybrid control using recurrent fuzzy neural network for linearinduction motor servo drive," IEEE Trans. on Fuzzy Systems, vol. 9, no. 1, pp. 102-115, Feb. 2001 https://doi.org/10.1109/91.917118
- C. F. Juang, "A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms," IEEE Trans. on Fuzzy Systems, vol. 10, no. 2, pp. 155-170, Apr. 2002 https://doi.org/10.1109/91.995118
- H. J. Zimmermann and P. Zysno, "Latent connective in human decision," Fuzzy Sets and Systems, vol. 4, pp. 37-51, 1980 https://doi.org/10.1016/0165-0114(80)90062-7
- Y. Q. Zhang and A. Kandel, "Compensatory neurofuzzy systems with fast learning algorithms," IEEE Trans. on Neural Networks, vol. 9, no. 1, pp. 83-105, Jan. 1998 https://doi.org/10.1109/72.655032
- M. Mizumoto, "Pictorial representations of fuzzy connectives, part II: Cases of compensatory operators and self-dual operators," Fuzzy Sets and Systems, vol. 32, pp. 45-79, 1989 https://doi.org/10.1016/0165-0114(89)90087-0
- H. Seker, D. E. Evans, N. Aydin, and E. Yazgan, "Compensatory fuzzy neural networks-based intelligent detection of abnormal neonatal cerebral doppler ultrasound waveforms," IEEE Trans. on Information Technology in Biomedicine, vol. 5, no. 3, pp. 187-194, 2001 https://doi.org/10.1109/4233.945289
- C. J. Lin and C. H. Chen, "Nonlinear system control using compensatory neuro-fuzzy networks," IEICE Fundamentals on Electronics, Communications and Computer Sciences, vol. E86-A, no. 9, pp. 2309-2316, 2003
- C. J. Lin and W. H. Ho, "A pseudo-gaussianbased compensatory neural fuzzy system," Proc. of the IEEE International Conference on Fuzzy Systems, St. Louis, MO, USA, pp. 214-220, May 25-28, 2003
- C. J. Lin and C. C. Chin, "Prediction and identification using wavelet-based recurrent fuzzy neural networks," IEEE Trans. on Systems, Man, and Cybernetics, vol. 34, no. 5, pp. 2144-2154, Oct. 2004 https://doi.org/10.1109/TSMCB.2004.833330
- J. H. Kim and U. Y. Huh, "Fuzzy model based predictive control," Proc. of IEEE Int. Conf. Fuzzy Systems, vol. 1, Anchorage, AK, pp. 405- 409, May 1998
- G. Chen, Y. Chen, and H. Ogmen, "Identifying chaotic systems via a wiener-type cascade model," IEEE Control Systems Magazine, vol. 17, no. 5, pp. 29-36, Oct. 1997