Research Article
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 |
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