Open AccessCourse of Artificial Intelligence + Composition for Young Backbone Teachers
Author(s) -
Liu Lian
Publication year - 2020
Publication title -
chǎnjiào rónghé yánjiū
Language(s) - English
Resource type - Journals
eISSN - 2664-5335
pISSN - 2664-5327
DOI - 10.6938/iie.202002_2(1).0006
Subject(s) - computer science , field (mathematics) , composition (language) , artificial neural network , curriculum , artificial intelligence , competition (biology) , subject (documents) , mathematics education , pedagogy , mathematics , psychology , ecology , philosophy , linguistics , pure mathematics , biology , library science
Based on the analysis of the needs in the education field, the basic application framework scenarios of the current artificial intelligence technology in the field of music education are constructed. The characteristics of various models (typed music model, Markov chain model, genetic algorithm model, neural network model, etc.) are used to improve the rule knowledge to form a practical and effective hybrid model. The innovation lies in combining non-note units (reproducing structures) in music composition to intelligently compose tracks by combining formulas and matrix data combinations. The project conducts in-depth cooperation on the training of composition teachers and students from the fields of curriculum teaching, practical teaching, and innovation competition, and strives to combine theoretical teaching and engineering cases, practical teaching and industrial products, subject competition and intelligent technology. Combination to achieve collaborative education of industry-academia cooperation.