A study on the convergence of MEBML algorithms

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 1, Issue , 2000, Pages 122-125

  Wang, Chuan Long ^a   Zhang, Jian Guo ^b  

^a SHANXI UNIVERSITY   (China)

^b TAIYUAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CONVERGENCE OF NUMERICAL METHODS; ITERATIVE METHODS; OPTIMIZATION; PROBABILITY; PROBLEM SOLVING;

MARKOV CHAIN THEORY;

LEARNING ALGORITHMS;

EID: 0034591913     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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3. D.B. Fogel, An introduction to simulated evolutionary optimization, IEEE Trans on Neural Networks, 5(1), 1994, pp. 3-14.
4. Sun Chengyi, Sun Yan and Wei Lijun, Mind-Evolution-Based machine learing: framework and the implementation of optimization, Proc. of IEEE Intelligent Conference on Intelligent Engineering Systems, 1998, pp. 355-359.
5. S. Ross, Stochastic Processes, Wiley, 1983.
6. G. Rudolph, Convergence analysis of canonical genetic algorithms, IEEE Trans on Neural Networks, 5(1), 1994, pp. 96-101.
7. Xu Zongben and Gao Yong, Property analysis and prevention of premature convergence of genetic algorithm, Science in China (Series E), 26(1), 1996, pp. 364-375.
8. Wang Chuanlong and Sun Chengyi, A study of convergence of mind - Evolution - Based - Machine learing, Computer Research and Development, (to appear in 2000).