Patent attributes
An identification apparatus for identifying a type of a sheet obtains, by a sensor, a plurality of parameters including a parameter concerning a characteristic of the sheet, and identifies the type of the sheet based on a result of inputting the plurality of parameters obtained by the sensor to an estimation model obtained by machine learning using, as input data, parameters corresponding to the parameters which are obtained by the sensor and include a first parameter and a second parameter classified in accordance with whether a value tends to change due to a predetermined element, and also using, as supervised data, a type of a sheet if the parameters are obtained. The estimation model includes a first partial model to which the first parameter is input and the second parameter is not input, a second partial model to which the second parameter is input and the first parameter is not input, and a third partial model that outputs a result concerning the type of the sheet based on an output from the first partial model and an output from the second partial model.