Литература

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4. Gerhard Nierhaus. Algorithmic Composition: Paradigms of Automated Music Generation [Text]/ Gerhard Nierhaus. – First edition. – 2009. – 287 p. – ISBN 978-3-211-75539-6
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6. Neural network composition by prediction: Exploring the benefits of psychophysical constraints and multiscale processing / Mozer M. C. // Connection Science. Volume 6 Issues 2–3, October 2007, pp. 247–280
7. E. Kussul, T. Baidyk, L. Kasatkina and V. Lukovich, "Rosenblatt perceptrons for handwritten digit recognition," IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), Washington, DC, USA, 2001, pp. 1516-1520 vol.2.
8. Making Music with Algorithms: A Case-Study System / K. McAlpine, E. Miranda, S Hoggar. // Computer Music Journal. Volume 23 Issue 2, Summer 1999, pp. 19–30
9. Francois Pachet, Pierre Roy, Gabriele Barbieri. Finite-Length Markov Processes with Constraints [Електронний ресурс]. – 2011. – Режим доступу до ресурсу: https://www.researchgate.net/publication/220815140_Finite-Length_Markov_Processes_with_Constraints.