Patent ID: 11930142
Assignee: CANON KABUSHIKI KAISHA
Field: Audio-visual technology (Electrical engineering)
Classification: CPC H  B  G | IPC G  H

Claim 21:
22. A non-transitory computer-readable storage medium storing a program for causing a computer, included in a processing apparatus for outputting an estimator for identifying a type of a sheet, to:
generate a learning model by machine learning using, as input data, a plurality of parameters including a parameter concerning a characteristic of the sheet and including a first parameter having a value that tends to change due to a predetermined element and a second parameter having a value that tends not to change due to the predetermined element, and also using, as supervised data, a type of a sheet if the plurality of parameters are obtained; and
output, as the estimator, the learning model obtained by the machine learning,
wherein the learning model and the estimator include a first part to which the first parameter is input and the second parameter is not input, a second p-aftial model part to which the second parameter is input and the first parameter is not input, and a third part that outputs a result concerning the type of the sheet based on an output from the first part and an output from the second part.