Diagnostic Problem Solving by Means of Neuro-Fuzzy Learning, Genetic Algorithm and Chaos Theory Principles Applying

Author:

Gallova Stefania

Publisher

Springer Netherlands

Reference15 articles.

1. Gallová, Š.: Some effective techniques applying for complex diagnostic problem solving via genetic algorithm approach. In: Computational Intelligence: Methods and Applications, pp. 183–207. EXIT, Warsaw, ISBN 978-83-60434-50-5 (2008)

2. Abraham, NB., Lugiato, L.A., Narducci, L.M.: Instabilities in active media. J. Soc. Am. B. (1999)

3. Korytkowski, M., Rutkowski, L., Scherer, R.: On combining backpropagation with boosting. In: Proceedings of International Joint Conference on Neural Networks, IEEE World Congress on Computational Intelligence, Vancouver, Canada (2006)

4. Wang, L.: Adaptive Fuzzy Systems and Control. PTR Prentice-Hall, Englewood Cliffs, NJ (1994)

5. Mrugalski, M.: Neural Network Based Modelling of Non-Linear Systems. University of Zielona Gora, Poland (2004)

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