Parameter generation method and parameter generation apparatus for printer

A parameter generation apparatus for a printer, comprising:

• a storage storing a code;
• and
• a processor, coupled to the storage, loading the code and executing:
• inputting a target solder paste amount data into a first machine learning model, wherein the first machine learning model outputs a plurality of predicted process parameters for the printer;
• inputting the plurality of predicted process parameters into a second machine learning model, wherein the second machine learning model generates a predicted solder paste amount data for the printer, and the second machine learning model is trained to learn an association between a plurality of solder paste amount samples and a plurality of parameter samples;
• according to a minimization of a prediction error, updating a weight of the first machine learning model, wherein the prediction error is an error between the target solder paste amount data and the predicted solder paste amount data;
• and
• inputting the target solder paste amount data into the updated first machine learning model, wherein the updated first machine learning model outputs a plurality of new process parameters, and the plurality of new process parameters are used to control an operation of the printer.