Results for evolving Takagi-Sugeno fuzzy systems

Publications & Outputs

1. Applications of evolving intelligent systems to oil and gas industry.

   Macias Hernandez, J. & Angelov, P., 04/2010, Evolving intelligent systems : methodology and applications. Angelov, P., Filev, D. & Kasabov, N. (eds.). New York, USA: John Wiley and Sons and IEEE Press, p. 401-422 22 p. (IEEE Press series in Computational Intelligence).

   Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

2. Evolving intelligent sensors in chemical industry.

   Angelov, P. & Kordon, A., 04/2010, Evolving intelligent systems : methodology and applications. Angelov, P., Filev, D. & Kasabov, N. (eds.). New York, USA: John Wiley and Sons and IEEE Press, p. 313-336 24 p. (IEEE Press series in Computational Intelligence).

   Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

3. Evolving Takagi-Sugeno fuzzy systems from data streams (eTS+).

   Angelov, P., 04/2010, Evolving intelligent systems : methodology and applications. Angelov, P., Filev, D. & Kasabov, N. (eds.). New York, USA: John Wiley and Sons and IEEE Press, p. 21-50 30 p. (IEEE Press series in Computational Intelligence).

   Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

4. Two approaches to data-driven design of evolving fuzzy systems: eTS and FLEXFIS

   Angelov, P., Lughofer, E. & Klement, E. P., 22/06/2005, Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American. IEEE, p. 31-35 5 p.

   Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review