An intelligent method for knowledge derived from limited data

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 1, Issue , 2005, Pages 566-571

  Chang, Fengming M ^a  

^a TUNG FANG INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Artificial intelligence; Knowledge; Limited data

Indexed keywords

DATA ACQUISITION; DECISION MAKING; FUZZY SETS; INFORMATION ANALYSIS; KNOWLEDGE BASED SYSTEMS; NEURAL NETWORKS;

FUZZY THEORY; KNOWLEDGE; KNOWLEDGE BASE; LIMITED DATA;

ARTIFICIAL INTELLIGENCE;

EID: 27944481218     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. L. Monostori, "AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing," Engineering Applications of Artificial Intelligence, vol. 16, pp. 277-291, 2003.
2. J. R. Quinlan, "Learning efficient classification procedures and their application to chess and games," Machine Learning: An Artificial Intelligence Approach, vol. 1, Toiga, Palo Alto, CA, pp. 463-482, 1983.
3. D. C. Li, C. Wu, and K. Y. Tong, "Using an unsupervised neural network and decision tree as knowledge acquisition tools for FMS scheduling," International Journal of Systems Science, vol. 28, no. 10, pp. 977-985, 1997.
4. D. C. Li and I. S. She, "Using unsupervised learning technologies and simulation analysis to induce scheduling knowledge for flexible manufacturing systems," International Journal of Production Research, vol. 32, no. 9, pp. 2187-2199, 1994.
5. M. B. Sung, H. H. Sung, and C. P. Sang, "Fuzzy web ad selector based on web usage mining," IEEE Intelligent Systems, vol. 18, no. 6, pp. 62-69, 2003.
6. P. W. L. Ip, H. C. W. Lau, and F. T. S. Chan, "An intelligent Internet information delivery system to evaluate site preferences," Expert Systems with Applications, vol. 18, pp. 33-42, 2000.
7. S.-P. Lo, "The application of an ANFIS and grey system method in turning tool-failure detection," International Journal of Advanced Manufacturing Technology, vol. 19, pp. 564-572, 2002.
8. R. J. Kuo, J. A. Chen, "A decision support system for order selection in electronic commerce based on fuzzy neural network supported by real-coded genetic algorithm," Expert Systems with Applications, vol. 26, pp. 141-154, 2004.
9. M. Anthony, N. Biggs, Computational Learning Theory. Cambridge University Press, 1997.
10. P. Niyogi, F. Girosi, P. Tomaso, "Incorporating prior information in machine learning by creating virtual examples," Proceeding of the IEEE, pp. 275-298, 1998.
11. C. Huang, C. Moraga, "A diffusion-neural-network for learning from small samples," International Journal of Approximate Reasoning, vol. 35, pp. 137-161, 2004.
12. C. F. Huang, "Principle of information diffusion," Fuzzy Sets and Systems, vol. 91, pp. 69-90, 1997.
13. D. C. Li, L. S. Chen, and Y. S. Lin, "Using functional virtual population as assistance to learn scheduling knowledge in dynamic manufacturing environments," International Journal of Production Research, vol. 41, no. 17, pp. 4011-4024, 2003.
14. D. C. Li, C. Wu, and F. M. Chang, "Using Data-fuzzification Technology in Small Data Set Learning to Improve FMS Scheduling Accuracy," International Journal of Advanced Manufacturing Technology, in press.
15. M. C. Mackey and L. Glass, "Oscillation and chaos in physiological control systems," Science, vol. 197, pp. 287-289, 1977.