Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
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: [email protected].
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
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]