PATTERN RECOGNITION

Synthesis of correct algorithms in the algebraic extension of a single potential functions model of image recognition algorithms

O. M. Vasil'ev

Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics

Abstract: A new method to design algebraic extensions of potential functions model is descibed. Necessary and sufficient conditions of correct algorithm in this algebraic extensions are obtained. In the case when the conditions are not satisfied we can evaluate optimal algorithm in this algebraic extension.

Keywords: algebraic approach for pattern recognition, potential functions method.

UDC: 519.68

Received: 04.11.2008
Revised: 10.11.2008

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