Article
Model System Study of Accordion Score Based on Fractional Differential Equations
Authors
Abstract
The melody feature mining of accordion scores is a relatively unpopular research topic. We discuss music’s harmony configuration, chord configuration, and accompaniment configuration based on fractional differential equations. The algorithm builds a model for automatically generating pitch-melody meta-translation tables. At the same time, the automation of essential data acquisition is realized. The study found that when we input a long sequence of pitch values, the excavated melody line The experimental results show that the accordion score of a fractional differential equation can improve the logical rigor and beauty of the melody compared with the Markov composition method.
Keywords
Fractional differential equation, Accordion score, Characteristic melody mining, Markov chain, 34A08
Citation
Liu, Y. (2022). Model system study of accordion score based on fractional differential equations. Applied Mathematics and Nonlinear Sciences, 7(2), 1211–1220. https://doi.org/10.2478/amns.2022.2.0108
Y. Liu, “Model system study of accordion score based on fractional differential equations,” Applied Mathematics and Nonlinear Sciences, vol. 7, no. 2, pp. 1211–1220, 2022, doi: 10.2478/amns.2022.2.0108.
Liu Y. Model system study of accordion score based on fractional differential equations. Applied Mathematics and Nonlinear Sciences. 2022;7(2):1211–1220. doi:10.2478/amns.2022.2.0108.
Liu, Y. (2022), ‘Model system study of accordion score based on fractional differential equations’, Applied Mathematics and Nonlinear Sciences, 7(2), pp. 1211–1220. Available at: https://doi.org/10.2478/amns.2022.2.0108.
Liu, Yiru. “Model System Study of Accordion Score Based on Fractional Differential Equations.” Applied Mathematics and Nonlinear Sciences, vol. 7, no. 2, 2022, pp. 1211–1220. https://doi.org/10.2478/amns.2022.2.0108.
Liu, Yiru. “Model System Study of Accordion Score Based on Fractional Differential Equations.” Applied Mathematics and Nonlinear Sciences 7, no. 2 (2022): 1211–1220. https://doi.org/10.2478/amns.2022.2.0108.
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Published by: Engineering Journals


