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DRIVING MODEL TRAINING METHOD, DRIVER IDENTIFICATION METHOD, APPARATUSES, DEVICE AND MEDIUM

机译:驾驶模型训练方法,驾驶员识别方法,装置,设备和介质

摘要

DRIVING MODEL TRAINING METHOD, DRIVER IDENTIFICATION METHOD, APPARATUSES, DEVICE AND MEDIUM A driving model training method, a driver identification method, apparatuses, a device and a medium are provided. The driving model training method comprises: acquiring training behavior data of a user wherein the training behavior data are associated with a user iden tifier; acquiring training drivin g data associated with the user identifier based on the training behavior data; acquiring positive and negative samples from the training driving data based on the user identifier, and dividing the positive and negative samples into a training set and a test set; training the training set using a bagging algorithm, and acquiring an original driving model; and testing the original driving model using the test set, and acquiring a ta rget driving model. The driving model training method effectively enhances generalization of the driving model, solves the problem of a poor iden tification result of the current driving identification model, and improves an accuracy rate of identifying driving of a driver. FIG. 1
机译:驾驶模型训练方法,驾驶员识别方法,装置,装置和介质提供了驾驶模型训练方法,驾驶员识别方法,装置,装置和介质。该驾驶模型训练方法包括:获取用户的训练行为数据,其中,所述训练行为数据与用户标识相关联;根据训练行为数据获取与用户标识关联的训练数据;根据用户标识,从训练驾驶数据中获取正负样本,并将正负样本分为训练集和测试集;使用装袋算法训练训练集,并获取原始驾驶模型;然后使用测试集测试原始驾驶模型,并获取目标驾驶模型。驾驶模型训练方法有效地增强了驾驶模型的通用性,解决了当前驾驶识别模型识别结果差的问题,提高了驾驶员驾驶识别的准确率。图。 1个

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