A hybrid genetic learning algorithm for Pi-sigma neural network and the analysis of its convergence

Proceedings - 4th International Conference on Natural Computation, ICNC 2008

Volumn 3, Issue , 2008, Pages 19-23

  Yong, Nie ^a   Wei, Deng ^a  

^a SUZHOU UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; DIESEL ENGINES; GENETIC ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; THREE TERM CONTROL SYSTEMS;

FLEXIBLE POLYHEDRON METHODS; GENETIC LEARNING ALGORITHMS; GLOBAL OPTIMUMS; GLOBAL SEARCHES; HYBRID GENETIC ALGORITHMS; LOCAL SEARCHES; STANDARD GENETIC ALGORITHMS;

LEARNING ALGORITHMS;

EID: 57649139565     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2008.896     Document Type: Conference Paper

References (6)

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2. Luo Yuehu, Shen Shiqian. About Pi-sigma neural network function approximation problem. Acta Mathematicae Applicatae Sinica, 2005, 15(1):107-112
3. Peng Wei, Lu XiCheng. A hybrid genetic algorithm for function optimization. Journal of software, 1999, 10(8):819-823.
4. Avriel M. Nonlinear programming: analysis and methods.prentice-Hall, Inc., 1976.
5. YAO Wenjun. Study On Back Propagation Network Optimization With Genetic Algorithms. WuHanIhst.Chem.Tech)2004,16(1): 124-129.
6. Rudolph G. Convergence analysis of canonical genetic algorithm. IEEE Trans on Neural Networks, 1994, 5(2): 96-101.