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Title:
MACHINE-LEARNING METHOD, MACHINE-LEARNING DEVICE, MACHINE-LEARNING PROGRAM, COMMUNICATION METHOD, AND CONTROL DEVICE
Document Type and Number:
WIPO Patent Application WO/2023/068020
Kind Code:
A1
Abstract:
The present invention: calculates a reward for a determination result of isostatic pressing treatment conditions on the basis of state variables including at least one physical quantity pertaining to an object to be treated and at least one isostatic pressing treatment condition; updates, on the basis of the reward, a function for determining the at least one isostatic pressing treatment condition from the state variables; and determines the isostatic pressing treatment condition under which a largest reward is obtained by repeating the update of the function. The isostatic pressing treatment condition is at least one among a first parameter pertaining to the object to be treated, a second parameter pertaining to processes prior to the isostatic pressing treatment, or a third parameter pertaining to operation conditions of an isostatic pressing device, wherein the at least one physical quantity is at least one of physical quantities pertaining to densification and compacting of the object to be treated.

Inventors:
ITO HIROYUKI
MINAMINO TOMOYA
SHIRAKASHI HIROSHI
KISHI YOSHIKAZU
MIZOKAMI TADATAKA
MIYASHITA YASUHIDE
Application Number:
PCT/JP2022/036834
Publication Date:
April 27, 2023
Filing Date:
September 30, 2022
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
KOBE STEEL LTD (JP)
International Classes:
B30B11/00; G06N3/02; G06N20/00
Foreign References:
JPH0320588A1991-01-29
JP2019212001A2019-12-12
JPH0977566A1997-03-25
Attorney, Agent or Firm:
KOTANI, Masataka et al. (JP)
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