[Modeling pattern recognition in real neuronal structures].
A neural net model imitating the pattern recognition in nature is constructed. The model is based on the synergistic principles of pattern competition in course of the recognition process, where only the pattern nearest to the offered one survives. The proposed neural net uses a only small amount of information as compared with existing algorithms. For modelling of the natural pattern cognition a method of brightness segmentation has been used, which allows one to transform the initial picture to a less clear one. The information properties of the proposed algorithm are analysed.
Iudashkin
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AA
D000465:Algorithms; D008954:Models, Biological; D009415:Nerve Net / Q000502:physiology*; D010364:Pattern Recognition, Visual
Modelirovanie raspoznavaniia obrazov v real'nykh neĭronnykh strukturakh.