Algorithm and Implementation of Evaluation System Based on BP Neural Network

Instruction synthesis competence appraisal attribute is appraisal attribute aimed at instruction workers' job competence appraisal. There are several attributes built into the attribute. In practical application, this attribute structure is reasonable, the flow logic is rigorousthis. The ES can add teachers' personal distinct attributes intelligently to add scores, so that teachers' personal distinct scores can be added autonomously. In aspect of appraisal divisors, the teacher appraisal is mainly analyzed from two aspects of internal and external divisors, and the appraisal divisors are referenced one by one. This text studies a series of knowledge and content of the Instruction synthesis competence ES on account of BP (BPNN), and analyzes the casting of BPNN in Instruction synthesis competence appraisal. Through record analysis, it can be seen that the equation and realization of the Instruction synthesis competence ES on account of BPNN is more scientific and accuratio in Instruction synthesis competence appraisal.