Construction of Evaluation Model of Physical Education Teaching Effectiveness Based on Hybrid Algorithm

Higher education can better meet the requirements of the current new situation only by reforming in combination with the actual situation and constantly improving its own level. PET (Physical education teaching) effectiveness evaluation plays an important role in improving teaching quality. To accurately evaluate the effectiveness of PET, this paper proposes a hybrid algorithm based on GA (generic algorithm) and BPNN (BP neural network) to evaluate the effectiveness of PET. The simulation results show that the prediction results of GA_BPNN model are basically consistent with the actual results, and the prediction accuracy is over 91%. The validity of this model is verified, and the significance of the existence of GA_BPNN hybrid algorithm is further emphasized.