Method for determining a parameter, in particular, of a lubricating method or of a lubricant

A method for determining a parameter of a lubricating method or of a lubricant, the method comprising the following steps:

• providing at least one input variable for a model;
• and
• determining the parameter as a function of the model, the model including a module which is configured to determine the parameter as a function of the at least one input variable, the model being trained as a function of input data which encompass data sets of the at least one input variable and an assignment of each of the data sets to a respective setpoint parameter, wherein as a function of a comparison of a parameter determined for one of the data sets to the respective setpoint parameter assigned to the one of the data sets, either:
• (i) the model is continued to be trained, or (ii) a modified model is determined by adding a module to the model and/or by removing from the model at least one module which differs from the module for determining the parameter, and the modified model is trained.

A device for determining a parameter of a lubricating method or of a lubricant, the device comprising:

• a plurality of processors;
• and
• at least one memory for a model;
• wherein the device is configured to
• provide at least one input variable for the model, and
• determine the parameter as a function of the model, the model including a module which is configured to determine the parameter as a function of the at least one input variable, the model being trained as a function of input data which encompass data sets of the at least one input variable and an assignment of each of the data sets to a respective setpoint parameter, wherein as a function of a comparison of a parameter determined for one of the data sets to the respective setpoint parameter assigned to the one of the data sets, either:
• (i) the model is continued to be trained, or (ii) a modified model is determined by adding a module to the model and/or by removing from the model at least one module which differs from the module for determining the parameter, and the modified model is trained.

A non-transitory machine-readable memory medium on which is stored a computer program for determining a parameter of a lubricating method or of a lubricant, the computer program, when executed by a computer, causing the computer to perform the following steps:

• providing at least one input variable for a model;
• and
• determining the parameter as a function of the model, the model including a module which is configured to determine the parameter as a function of the at least one input variable, the model being trained as a function of input data which encompass data sets of the at least one input variable and an assignment of each of the data sets to a respective setpoint parameter, wherein as a function of a comparison of a parameter determined for one of the data sets to the respective setpoint parameter assigned to the one of the data sets, either:
• (i) the model is continued to be trained, or (ii) a modified model is determined by adding a module to the model and/or by removing from the model at least one module which differs from the module for determining the parameter, and the modified model is trained.