인공지능 (GEK6103-01)
 Hybrid Intelligent Systems:
Methodologies and Applications


◈ 공지사항


◈ 수업정보


◈ 강좌 목표

 


◈ 수업 교재

 


◈ 평가 기준

 


◈ Course Schedule


◈ 수업 자료
 

주제

논문

Neural
Networks
 9/11

Fuzzy Systems
9/18  

Evolutionary
Computation
10/9 

Fuzzy
Neural
Networks
10/16  

Evolutionary
Neural
Networks
10/16  

Evolutionary
Fuzzy
Neural
Networks
10/16

  • [1] L. Yu, and Y.-Q. Zhang, “Evolutionary fuzzy neural networks for hybrid financial prediction,” IEEE Systems, Man and Cybernetics, Part C, vol. 35, no. 2, pp. 244-249, 2005. (참고)
  • [2] J.-S. R. Jang, C.-T. Sun, and E. Mizutani, “22. Soft computing for color recipe prediction,” Neuro-Fuzzy and Soft Computing, Prentice Hall, 1997. (참고)
  • [3] S.-B. Cho, "Genetic neuro-fuzzy architectures for advanced intelligent systems," Proceedings of International Federation of Information Processing, pp. 359-366, Canberra, September 1996.
  • [4] G. Castellano, C. Castiello, A.M. Fanelli, and L. Jain, “Evolutionary neuron-fuzzy systems and applications.”

Bayesian
Networks
10/30

Probabilistic
Modeling (1)
11/6

Interactive EC (2)
11/6

Application to Robotics
11/13

Application to
Image Processing
11/20

Application to
Bioinformatics
11/27

Application to
Mobile Devices
12/4