Multimedia Vocal Performance Automation Evaluation Model Based on RBF Network

Table 4

Automated evaluation process of vocal music singing.

Algorithm steps	The selection of RBF center	The generalization of the network
1	This is mainly divided into it:	if(temp ≥ arr[i])break;
2	The significance test of :	arr(k) = arr[i];
3	The regression equation :	for(int i = 2∗k; i ≤ len; i ∗ = 2)
4	The significance of :	for(int i = low; i ≤ high; i++)
5	The uniform experimental design:	arr(k) = temp;
6	Method mainly includes the following steps:	while(i ≤ mid)
7	We select the test factors :	if((i < len)&&(arr[i]<arr[i+1]))
8	We determine the factors :	for(int i = 0; i ≤ len; i++)
9	For uniform design table:	void bigsort(int  ∗ arr, int len)
10	Secondly, we select the appropriate:	int temp = arr[0];
11	The validity of the model:	arr[0] = arr[len-i];
12	By using :	arr[len-i] = temp;
13	Significance test and other indicators:	adjustdownmy(arr,0,len-i-1);