Comparative analysis of neuro-fuzzy systems of electrooptical images classification in uncertain environment


  • I. M. Petrosyuk
  • Yu. P. Zaichenko


A comparative analysis of neuro-fuzzy algorithms is performed and their performance in classification of electrooptical images in an uncertain environment is investigated. Classification algorithms based on Kohonen, ANFIS, NEFCLASS neuro-fuzzy nets have been considered, and their comparison analysis has been conducted. A new method for classification of electrooptical images in the considered class of problems is proposed.

Author Biographies

I. M. Petrosyuk

Petrosyuk I.M.

Yu. P. Zaichenko

Zaichenko Yu.P.



Methods of system analysis and control in conditions of risk and uncertainty