Нейронная сеть обеспечивает вероятность распознавания

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2. Jordao L., Perrone M., Costeira L., Santos L. Active face and feature tracking // Proc.
Of international conference on linage analysis and processing. – 1999. V.9 – P. 572–576.
3. Albiol A., Torres L., Delp E. J. Optimum color spaces for skin detection // Proceedings
of the International conference on image processing. – 2001. − V. 1. − P. 122−124.
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face and evaluation // Pattern Recognition Letters. − 2002. − V. 23. − . 14. − P. 1623−1629.
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E-mail: vitaliy.korovkin@gmail.com
The purpose of this research is description a wave recognition algorithms for finding skeleton bitmap images.
Today, pattern recognition is actively used in everyday life. Speech recognition and handwriting greatly simplifies
human-computer interaction. In this paper we give briefly description and advantages of this algorithm.
Key words: image recognition, wave algorithm, bitmap, optimization of the skeleton
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E-mail: lagoon@vtomske.ru
Nowadays, the problem of understanding what kind of fault may occur in an electrical machine is tremendously
popular. Nevertheless, at present no known comprehensive system for such diagnostics exists. The aim of this
scientific paper is to try and create a knowledge base for further use in the expert system that is being realized.
Basic faults are distributed into groups of different types, thereby allowing to build the mentioned expert system
using the pre-defined notions.
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Key words: expert system, electric machine, knowledge base, production rule
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