CAJ | 학술논문

确定了分项评价指标及其标准,具体包括以下9个指标：准确性、整齐性、弹性、协调性、稳定性、控制力、健康性、统一性和和谐性.建立了包含输入层,隐含层和输出层的三层BP人工神经网络模型.结果表明,该模型能够很好地反映9个分项指标的成绩与总体成绩之间的非线性关系.各个样本的预测值与真实值十分接近,相对误差在5%上下波动,网络训练成功.表明BP网络经有效训练后应用于竞技健美操成绩评价具有较高的预测精度和良好的泛化能力.
학정료분항평개지표급기표준,구체포괄이하9개지표：준학성、정제성、탄성、협조성、은정성、공제력、건강성、통일성화화해성.건립료포함수입층,은함층화수출층적삼층BP인공신경망락모형.결과표명,해모형능구흔호지반영9개분항지표적성적여총체성적지간적비선성관계.각개양본적예측치여진실치십분접근,상대오차재5%상하파동,망락훈련성공.표명BP망락경유효훈련후응용우경기건미조성적평개구유교고적예측정도화량호적범화능력.
This article provides partial evaluation index and its standard,including the following 9 indexes： accuracy,regularity,elasticity,coordination,stability,control,health vitality,unitarity and harmonious.The three-layer BP artificial neural network model including input layer,hidden layer and output layer is established.The result shows that the model can well reflect the non-linear relationship between the performance of 9 indexes and the overall performance.The predicted value of each sample is very close to the true value,with a relative error fluctuating around of 5%,and the network training is successful.It shows that BP network has high prediction accuracy and good generalization capacity if being applied to sports aerobics performance evaluation after effective training.