Neural Methods for Complex Images Logic Description and Recognition

Neural methods and logic-object methods for complex images description, analysis and recognition are considered. Algorithms for identification problems and simple pattern classification solution (for example, complex 3D-scenes on 2D-images of partially hidden objects) have been suggested. Comparative analysis for algotihms complexity has been given and computing experiments results have been described