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

Author(s): Geng Du

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

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