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

Authors

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

Abstract

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.

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Issue

No. 3 (2006)

Section

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

License

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