Soft computing based anytime modeling methodology for handling resource insufficiency

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nowadays practical solutions of engineering problems involve model-integrated computing. Model based approaches offer a very challenging way to integrate a priori knowledge into the procedure. Due to their flexibility, robustness, and easy interpretability, the application of soft computing, in particular fuzzy and neural network based models, may have an exceptional role at many fields, especially in cases where the problem to be solved is highly nonlinear or when only partial, uncertain and/or inaccurate data is available. Nevertheless, ever so advantageous their usage can be, it can still be limited by their high computational complexity. Although, a possible solution can be, if we combine soft computing and anytime techniques, because the anytime mode of operation is able to adaptively cope with the available, usually imperfect or even missing information, the dynamically changing, possibly insufficient amount of resources and reaction time. In this paper, a soft computing based anytime modeling methodology is presented for handling resource insufficiency and the applicability of the generated models is analyzed in dynamically changing, complex, time-critical systems.

Original languageEnglish
Title of host publication9th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2011 - Proceedings
Pages89-94
Number of pages6
DOIs
Publication statusPublished - 2011
Event9th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2011 - Smolenice, Slovakia
Duration: Jan 27 2011Jan 29 2011

Other

Other9th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2011
CountrySlovakia
CitySmolenice
Period1/27/111/29/11

Fingerprint

Soft computing
Computational complexity
Neural networks

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Várkonyi-Kóczy, A. (2011). Soft computing based anytime modeling methodology for handling resource insufficiency. In 9th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2011 - Proceedings (pp. 89-94). [5738854] https://doi.org/10.1109/SAMI.2011.5738854

Soft computing based anytime modeling methodology for handling resource insufficiency. / Várkonyi-Kóczy, A.

9th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2011 - Proceedings. 2011. p. 89-94 5738854.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Várkonyi-Kóczy, A 2011, Soft computing based anytime modeling methodology for handling resource insufficiency. in 9th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2011 - Proceedings., 5738854, pp. 89-94, 9th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2011, Smolenice, Slovakia, 1/27/11. https://doi.org/10.1109/SAMI.2011.5738854
Várkonyi-Kóczy A. Soft computing based anytime modeling methodology for handling resource insufficiency. In 9th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2011 - Proceedings. 2011. p. 89-94. 5738854 https://doi.org/10.1109/SAMI.2011.5738854
Várkonyi-Kóczy, A. / Soft computing based anytime modeling methodology for handling resource insufficiency. 9th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2011 - Proceedings. 2011. pp. 89-94
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