Login| Sign Up| Help| Contact|

Patent Searching and Data


Title:
METHOD FOR GENERATING TRAINED PREDICTION MODEL THAT PREDICTS AMOUNT OF DROSS GENERATED IN MELTING FURNACE, METHOD FOR PREDICTING AMOUNT OF DROSS GENERATED IN MELTING FURNACE, AND COMPUTER PROGRAM
Document Type and Number:
WIPO Patent Application WO/2023/163172
Kind Code:
A1
Abstract:
Provided is a method for generating a trained model, comprising: a step (S110) of acquiring a process state parameter for each single charge; a step (S130) of applying machine learning to a dataset of one or a plurality of process state parameters acquired for charges of m portions (where m is an integer no less than 2) and executing pre-processing; a step (S140) of generating a training dataset; and a step (S150) of generating a trained model. The training dataset includes one or a plurality of process target parameters generated on the basis of n-dimensional features (where n is an integer no less than 1) extracted in the pre-processing, the process target parameters indicating at least process basic information that is set for each single charge.

Inventors:
YOMOGIDA SHOHEI (JP)
YAMAMOTO YUKI (JP)
Application Number:
PCT/JP2023/007055
Publication Date:
August 31, 2023
Filing Date:
February 27, 2023
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
UACJ CORP (JP)
International Classes:
C22B9/00; C22B21/00; G05B23/02
Domestic Patent References:
WO2022024544A12022-02-03
Foreign References:
JP2007011752A2007-01-18
JP2016062411A2016-04-25
JP2019159823A2019-09-19
Other References:
LEILEI JIAN, LI ZHANQUAN: "Research Progress on the Expression, Signal Transduction and Treatment of Axl in Leukemia", THE JOURNAL OF PRACTICAL MEDICINE, vol. 30, no. 22, 25 November 2014 (2014-11-25), pages 3677 - 3679, XP093088029
Attorney, Agent or Firm:
OKUDA Seiji (JP)
Download PDF: