Model learning method, degree of alloying degree control method, manufacturing method of alloyed hot-dip galvanized steel sheet, model learning apparatus, degree of agitation degree control apparatus and manufacturing apparatus of alloyed hot-dip galvanized steel sheet

摘要

A model learning method capable of improving the accuracy of prediction of the output of an alloying furnace, and performing control of alloying with high accuracy, method for controlling degree of alloying, method for producing alloyed galvanized steel sheet, and model learning apparatus Problem to be solved: to provide an apparatus for producing an alloying degree control apparatus and an alloyed galvanized steel sheet.The model learning method is made by applying a hot dip galvanizing to a steel plate to adjust the amount of plating to a predetermined amount of plating, after which the result of the plating process to be alloyed in an alloying furnace and the result data of the previous step of the plating process are used as input data, and an alloying furnace output is outputted as output data. A learning model is generated by machine learning.Diagram