An application of neural networks to emulation of aesthetic judgements

Models of perception of abstract black and white images are proposed. The core part of the models are artificial neural networks (ANNs). The computer system is trained by providing samples of pictures and some pre-calculated characteristics. Once successfully trained, the system is able to classify new pictures displaying aesthetic preferences similar to those owned by its teachers