Machine learning system

A machine learning system provided in a vehicle, comprising:

• a learning planning part configured to create a learning plan of a neural network model outputting at least one output parameter from a plurality of input parameters,
• a data set creating part configured to acquire measured values of the plurality of input parameters and a measured value of the at least one output parameter corresponding to the measured values to create training data sets,
• a learning part configured to perform learning of the neural network model using the training data sets when the vehicle is stopped based on the learning plan, and
• a stopping period predicting part configured to predict stopping periods of the vehicle, wherein
• the data set creating part is configured to allocate the training data sets to a plurality of learning regions determined based on respective ranges of the plurality of input parameters,
• the learning part is configured to perform learning of the neural network model for each learning region, and
• the learning planning part is configured to allocate each of the plurality of learning regions to a corresponding stopping period of the stopping periods, and
• a control part configured to control a drive system of the vehicle based on the neural network model.