Patent ID: 11971709
Assignee: OMRON CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC B  G | IPC B  G

Claim 11:
12. The learning device according to claim 2,
wherein the extractor is constituted by a neural network,
the neural network is split into a first portion, a second portion, and a third portion,
the first portion and the second portion are disposed in parallel on an input side of the neural network, have the same structure, and thus have common parameters,
the first portion is configured to receive an input of the simulation data,
the second portion is configured to receive an input of the actual data,
the third portion is disposed on an output side of the neural network and is configured to receive an output of each of the first portion and the second portion,
in the first training step, the first processor adjusts each of values of parameters of the first portion and the third portion such that an output value that conforms to the corresponding first environmental information is output from the third portion if the simulation data is input to the first portion for each of the first learning data sets, and
the first processor copies the adjusted value of the parameter of the first portion to the parameter of the second portion after the first training step is executed and before the second training step is executed.