The aim of this paper was to extract the representative features and generate an appropriate neural model for classification of varieties of edible potato. Potatoes of variety the Vineta and the Denar were the empirical object of this thesis. The main concept of the project was to develop and prepare an image database using the computer image analysis software. The choice of appropriate neural model the one which will have the greatest abilities to identify the selected variety. The aim of this project is ultimately to conduct assistance and accelerate work of the expert, who classifies and keeps different varieties of potatoes in heaps.

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A b s t r a c t. The paper concerns the convergence of selected world stock exchanges from the point of view of their development in the context of geographical and economic distance between them. It presents the methodological approach which points up the necessity of taking into account spatial and economic connections among stock markets in convergence analyses. The research includes 46 largest trading floors analyzed in the period of 2004-2012. The empirical data refer to six diagnostic variables acknowledged as the important determinants of the development of stock markets. K e y w o r d s: stock exchanges, convergence, physical and economic distance, connectivity matrix, spatial panel models. J E L Classification: C10, C12, C58, G15.