本文提出了一种基于BP神经网络和归一化处理的教练员执教能力评价方法。优秀教练员的评定标准不应仅依据所指导过的队伍的成绩,这样并不能科学准确、客观全面地反映教练员的水平。所以,考虑多元化原则,为客观科学反映教练员的实际能力,首先以大量数据为基础,计算并选择关于教练员的六项重要指标,再结合文献资料法、筛选法、BP神经网络法等构造评估模型,将归一化的评价指标作为BP神经网络的输入,教练员的综合评估值即为输出。经验证和分析,该模型可以对教练员的执教能力进行客观、合理的综合评估。 This paper presents a coaching ability evaluation method based on BP neural network and normalized processing. The evaluation criteria of excellent coaches should not only be based on the scores of the teams they guide, but they can not reflect the coaching staff objectively and comprehensively in a scientific and accurate manner. Therefore, taking into account the principle of pluralism and reflecting the actual ability of coaches for objective science, we first calculate and select six important indicators about coaches based on a large amount of data. Combined with the literature review, screening, BP neural network, etc. The evaluation model is constructed, and the normalized evaluation index is used as the input of BP neural network. The comprehensive evaluation value of the trainer is output. Through the verification and analysis, this model can make an objective and reasonable comprehensive assessment of coaching ability.