This paper presents the application of the neural network to the colour conversion problem from RGB to CMY [1]. Three different architecture of neural network are compared and the one which gives the best results is chosen, and the method of learning this network based on the back propagation method with a controlled process of change of learning parametres, particulary the number of patterns in a learning set, in order to shorten the time of learning, is presented.
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