| abstract |
There are provided a learning apparatus, an operation method of the learning apparatus, an operation program of the learning apparatus, and an operating apparatus capable of further improving accuracy of prediction of a quality of a product by a machine learning model in a case where learning is performed by inputting, as learning input data, multi-dimensional physical-property relevance data, which is derived from multi-dimensional physical-property data of the product, to the machine learning model. In the learning apparatus, a first derivation unit derives, as learning input data, multi-dimensional physical-property relevance data which is related to multi-dimensional physical-property data. A learning unit inputs the learning input data including the multi-dimensional physical-property relevance data to the machine learning model, performs learning, and outputs the machine learning model as a learned model to be provided for actual operation. |