To solve the problem that estimation accuracy of a machine learning model used in a vehicle is reduced when a vehicle part is replaced.SOLUTION: A machine learning apparatus includes: a learning unit 31 which learns a machine learning model to be used in a vehicle 1; and a detection unit 32 which detects replacement of a vehicle part mounted on the vehicle. When a vehicle part relating to input data of the machine learning model is replaced, the learning unit relearns the machine learning model by using a training dataset corresponding to a new vehicle part after the replacement.SELECTED DRAWING: Figure 4
【課題】車両部品が交換された場合に、車両において用いられる機械学習モデルの推定精度が低下する。【解決手段】機械学習装置は、車両1において用いられる機械学習モデルの学習を行う学習部31と、車両に搭載された車両部品の交換を検知すると検知部32とを備える。学習部は、機械学習モデルの入力データに関する車両部品が交換された場合には、交換後の車両部品に対応する訓練データセットを用いて機械学習モデルの再学習を行う。【選択図】図4
MACHINE LEARNING APPARATUS
機械学習装置
2022-03-04
Patent
Electronic Resource
Japanese
IPC: | G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60S SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR , Warten, Reinigen, Instandsetzen, Unterstützen, Anheben oder Rangieren von Fahrzeugen, soweit nicht anderweitig vorgesehen |
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