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发明授权
CN107766876B 驾驶模型训练方法、驾驶人识别方法、装置、设备及介质 有权

驾驶模型训练方法、驾驶人识别方法、装置、设备及介质
摘要：
本发明公开一种驾驶模型训练方法、驾驶人识别方法、装置、设备及介质。该驾驶模型训练方法包括：获取用户的训练行为数据，所述训练行为数据与用户标识相关联；基于所述训练行为数据，获取与所述用户标识相关联的训练驾驶数据；基于所述用户标识，从所述训练驾驶数据获取正负样本；采用所述正负样本对误差反向传播神经网络模型进行训练，获取目标驾驶模型。该驾驶模型训练方法解决了当前驾驶模型识别效果较差的问题，并提高了识别驾驶人开车的精确度。
摘要（英）：

A driving model training method, a driver recognition method and apparatus, a device, and a medium. The driving model training method comprises: obtaining training behavior data of a user, the training behavior data being associated with a user identifier (S11); obtaining, according to the training behavior data, training driving data associated with the user identifier (S12); obtaining, according to the user identifier, positive and negative samples from the training driving data (S13); and training an error backpropagation neural network model by using the positive and negative samples to obtain a target driving model (S14). The driving model training method resolves the problem of poor recognition effect of an existing driving model, and improves the accuracy of driver recognition

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