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BP neural network-based sports expression recognition model's performing sports competition performance rating applied research

机译:基于BP神经网络的运动表情识别模型在竞技体育成绩评价中的应用研究。

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Neural network algorithms has been paid very high attentions in each field, due to its relative strong self fault-tolerant ability and self-training learning ability as well as other good advantages, it has great applied prospects in competition rating of sports competition performing events or events with performing properties. The paper just based on the superiority, it constructs BP neural networkmodel, the algorithms use face moving instant expression to make intelligent recognition, and comprehensive adopt foreign facial expression database to teat on it. The result shows themodel is reasonable, so usingBP neural network algorithms to carry out face recognition and expression analysis has obvious superiorities, neural networkmodel provides extremelywide development space for sports performance mode recognition model researching.
机译:神经网络算法由于其相对较强的自我容错能力和自我训练学习能力以及其他良好的优势而在各个领域都受到了高度重视,在体育比赛表演项目或比赛项目的比赛评分中具有广阔的应用前景。具有表演属性的事件。本文仅基于优势,构建了BP神经网络模型,算法利用人脸移动即时表情进行智能识别,并全面采用国外人脸表情数据库进行学习。结果表明该模型是合理的,因此利用BP神经网络算法进行人脸识别和表情分析具有明显的优势,神经网络模型为运动成绩模式识别模型的研究提供了广阔的发展空间。

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