上海自行车短组运动员冬训过程监控及效果评价

以训练中的实际需要为着眼点，对训练中运动员的生理生化指标、运动训练负荷以及运动生物力学等指标的变化进行分析和研究。在跟随上海自行车队短组运动员进行冬训的过程中，使用SRM系统、Wattbike功率车以及血细胞分析仪等仪器，跟踪采集自行车短组运动员冬训期间场地训练和功率车专项训练的各项数据，研究其变化规律，综合评价冬训的效果；使用BP神经网络方法，进一步挖掘训练过程的各项指标变化规律，并建立了冬训效果的BP神经网络预测模型。

Process and Effect of Monitoring the Winter Training of Shanghai Cycling Team

Based on the real demand in training, the research focuses on the changes of athlete’s physiological and biochemical indices, training load indices and sports biomechanical indexes.In the course of following the sprint group athletes of Shanghai Cycling Team in winter training, SRM system, Wattbike and blood cell analysis instrument were used to collect the data during the winter training so as to study the variation rules of the data and make a comprehensive evaluation of the effects of the winter training. BP neural network was used to further discover the change rules of the different indicators in training and established a BP neural network model for forecasting the winter training effect.