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Optimization of a neural network of self-organizing maps type with time-limits by a generalized net

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Abstract

The neural networks Self-Organizing Maps have got a multitude of applications. The introduced generalized net gives a possibility for optimization of the neural network allowing determination of its optimum architecture based on time limits for its learning.

참고문헌 (12)

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  2. Atanassov, K., "Generalized Nets, World Scientific" (1991), Singapore, New Jersey, London
  3. Demuth, H, "Neural network design" (1995), Prentice hall, New Jersey
  4. Gill, A, "Periodic decomposition of sequential machines", Journal of the ACM, 14(4), pp.666~676 (1967)
  5. Haykin, S, "Neural network and comprehensive foundation" (1999), Prentice Hall, New Jersey
  6. Schwaighofer, Kai Yu Volker Tresp Anton, "Learning Gaussian Processes from Multiple Tasks", the 22 nd International Conference on Machine Learning, Bonn, Germany (2005)
  7. Kohonen, T., "Self-Organizing Maps, First edition was 1995, second edition 1997" (1995), Berlin: Springer-Verlag
  8. Krawczak, M, "Generalized Net Models of Multilayer Neural Network", Control and Cybernetics (2003)
  9. Krawczak, M, "Multilayer Neural systems and Generalized Net Models" (2003), Akademecka Oficyna Wydawnicza EXIT, Warszawa
  10. Latkowski, R, "Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values", Lecture Notes in Computer Science, 3100, pp.299~320 (2004)
  11. Son, Nguyen Hung, "Decomposition of Task Specification Problems(In: Foundation of Intelligent Systems, LNAI 1609)", 11th International Symposium, ISMIS-99, Warsaw, Poland, pp.310~318 (1999), Springer
  12. Sotirov, S, "Modeling the work of self organizing neural network with generalized nets(Issue on Intuitionistic Fuzzy Sets and Generalized nets)" (2003), Warsaw

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