Singing Performance Evalurion Mode Research Based on RBF Neural Network
YUAN Jian
Abstract：To giving a correct assessment of a singer's performance is affected by multiple factors. GRNN RBF neural network can simulate a nonlinear system. This article establishes the evaluation model and use neural network to output a reasonable score. At last,this article uses an example to analysis the feasibility of the model. The experimental results show that the model can effec?tively reduce the interference by human in folk singing evaluation.
Keywords：radial basis function neural networkgeneral regression neural RBF networkvocalevaluation mode
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 1101-1104 )