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Model aggregation device and model aggregation system

机译:模型汇聚装置及模型汇聚系统

摘要

A model aggregation device 2 includes a communication device 21 capable of communicating with a plurality of vehicles in which neural network models are learned, a storage device 22 that stores part of the neural network models sent from the plurality of vehicles, and a control device 24. The neural network model outputs at least one output parameter from a plurality of input parameters. The control device is configured, if it receives a new neural network model from a vehicle of the plurality of vehicles through the communication device, areas of the plurality of input parameters that have been used to learn the new neural network model, and areas of the plurality of input parameters, which were used to learn a current neural network model stored in the storage device, so as to determine whether to replace the current neural network model with the new neural network model.
机译:模型集合装置2包括能够与学习了神经网络模型的多个车辆进行通信的通信装置21,存储从多个车辆发送来的神经网络模型的一部分的存储装置22,以及控制装置24。神经网络模型从多个输入参数中输出至少一个输出参数。如果控制装置通过通信装置从多个车辆中的一个车辆接收到新的神经网络模型,则配置该控制装置,已经用于学习新的神经网络模型的多个输入参数的区域以及该控制装置的区域。多个输入参数,用于学习存储在存储设备中的当前神经网络模型,从而确定是否用新的神经网络模型替换当前的神经网络模型。

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