A curious learning model with elm for fuzzy cognitive maps

International Journal of Uncertainty, Fuzziness and Knowldege-Based Systems

Volumn 21, Issue SUPPL.2, 2013, Pages 63-74

  Huang, Dong ^a   Shen, Zhiqi ^b  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Curious model; Extreme learning machine; Fuzzy cognitive map; Uncertain systems

Indexed keywords

FUZZY RULES; KNOWLEDGE ACQUISITION; LARGE SCALE SYSTEMS; LEARNING SYSTEMS;

CURIOUS MODEL; DEVELOPED MODEL; EFFICIENT LEARNING; EXTREME LEARNING MACHINE; HUMAN KNOWLEDGE; LEARN+; LEARNING MACHINES; LEARNING MODELS; PERFORMANCE; SYSTEMS PARAMETERS;

FUZZY COGNITIVE MAPS;

EID: 84887324900     PISSN: 02184885     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218488513400163     Document Type: Article

References (20)

1. B. Kosko, Fuzzy cognitive maps, Int. J. Man-Machine Studies 24(1) (1986) 65-75.
2. Q. Wu, C. Miao and Z. Shen, A curious learning companion in virtual learning environment, in 2012 IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE), 2012, pp. 1-8.
3. J. Aguilar, A survey about fuzzy cognitive maps papers, Int. J. Computational Cognition 3(2) (2005) 27-33.
4. E. Papageorgiou and J. L. Salmeron, A review of fuzzy cognitive maps research during the last decade, IEEE Trans. Fuzzy Systems 21(1) (2011) 66-79.
5. H. Song, C. Miao, W. Roel, Z. Shen and F. Catthoor, Implementation of fuzzy cognitive maps based on fuzzy neural network and application in prediction of time series, IEEE Trans. Fuzzy Systems 18(2) (2010) 233-250.
6. W. Stach, L. Kurgan, W. Pedrycz and M. Reformat, Genetic learning of fuzzy cognitive maps, Fuzzy Sets and Systems 153(3) (2005) 371-401.
7. E. I. Papageorgiou and P. P. Groumpos, A new hybrid method using evolutionary algorithms to train fuzzy cognitive maps, Applied Soft Computing 5(4) (2005) 409-431.
8. C. Miao, Q. Yang, H. Fang and A. Goh, A cognitive approach for agent-based personalized recommendation, Knowledge-Based Systems 20(4) (2007) 397-405.
9. R. Saunders and J. Gero, A curious design agent, in CAADRIA 1 (2001) 345-350.
10. D. E. Berlyne, Conflict, Arousal, and Curiosity (Mc-Graw Hill, 1960).
11. P. Y. Oudeyer, F. Kaplan, V. V. Hafner and A. Whyte, The playground experiment: Task-independent development of a curious robot, in Proc. AAAI Spring Symp. on Developmental Robotics, Stanford, California, 2005, pp. 42-47.
12. R. Saunders and J. S. Gero, Curious agents and situated design evaluations, AI EDAM: Artificial Intelligence for Engineering Design, Analysis and Manufacturing 18(2) (2004) 153-161.
13. J. Schmidhuber, Curious model-building control systems, in Int. Joint Conf. on Neural Networks, IEEE, 1991, pp. 1458-1463.
14. G. B. Huang, Q. Y. Zhu and C. K. Siew, Extreme learning machine: theory and applications, Neurocomputing 70(1) (2006) 489-501.
15. J.-H. Zhai, H.-Y. Xu and X.-Z. Wang, Dynamic ensemble extreme learning machine based on sample entropy, Soft Computing-A Fusion of Foundations, Methodologies and Applications, 2012, pp. 1-10.
16. X.-Z. Wang, Q.-Y. Shao, Q. Miao and J.-H. Zhai, Architecture selection for networks trained with extreme learning machine using localized generalization error model, Neurocomputing, 2012, pp. 3-9.
17. J.-H. Zhai, Fuzzy decision tree based on fuzzy-rough technique, Soft Computing-A Fusion of Foundations, Methodologies and Applications 15(6) (2011) 1087-1096.
18. N. Y. Liang, G. B. Huang, P. Saratchandran and N. Sundararajan, A fast and accurate online sequential learning algorithm for feedforward networks, IEEE Transactions on Neural Networks 17(6) (2006) 1411-1423.
19. E. K. P. Chong and S. H. Zak, An introduction to Optimization (Wiley-Interscience, 2004).
20. M. Markou and S. Singh, Novelty detection: a review-Part 1: Statistical approaches, Signal Processing 83(12) (2003) 2481-2497.