The influence of the discrepancies in the observers' decisions on the process of identification of maceral groups using artificial neural networks

The results presented concerning the objectivization of the quantitative analyses of coal indicate that modern methods of image analysis and artificial neural networks can contribute to the improvement of these measurements. However, it requires close cooperation between the designer of the neural network and the expert - petrographer.