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Issue title: Special Section: Big data analysis techniques for intelligent systems
Guest editors: Ahmed Farouk and Dou Zhen
Article type: Research Article
Authors: Zhang, Xiaojuana; * | Alijla, Basemb
Affiliations: [a] Fuzhou University, Fuzhou Fujian, China | [b] Islamic University of Gaza, Palestine
Correspondence: [*] Corresponding author. Xiaojuan Zhang, Fuzhou University, Fuzhou Fujian, 350116, China. E-mail: hrmpjl@163.com.
Abstract: In order to further promote the development of erhu, an inheritance and innovation model research in the development of erhu art is proposed based on intelligent algorithm. The development of erhu is expounded, with the intelligent algorithm used to construct the erhu learning model, which can simplify the skills in erhu learning, make it more easy to understand, and get better inheritance and development. An optimization and updating scheme is proposed from the algorithm flow and evaluation model. By effectively evaluating the data connection state of the erhu art model, an effective identification model is established, and the corresponding optimization results are given. In the test for the erhu learning model, the efficiency of the erhu teaching and the data accuracy of the computer algorithm are tested. The test results show that the addition of artificial intelligence makes the erhu teaching more simple, and the teaching content is more accurate, which is worth further promotion and development.
Keywords: Neural network algorithm, erhu art, Inheritance and innovation
DOI: 10.3233/JIFS-179135
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 3327-3334, 2019
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