Construction and Application of Talent Evaluation Model Based on Nonlinear Hierarchical Optimization Neural Network

Table 1

Information data training after initialization.

Information data threshold	Training mode behavior ability factor
S (sno, sname, password)	Using the yam
C (cno, cname, ctine, cplace, tno)	information rate
T (Tno, Tname, password)	The number of
Sno char (10) foreign key references S(Sno),	The network can
Cno char (10) foreign key references S(Sno),	The knowledge and
Tname char (10),	be trained
Password char (10)	Unit samples
Public void keypressed (e) {	With information data
Plane.key-released-control-direction (e);	after initialization