Title:
MACHINE LEARNING METHOD, MACHINE LEARNING DEVICE, MACHINE LEARNING PROGRAM, COMMUNICATION METHOD, AND CONTROL DEVICE
Document Type and Number:
Japanese Patent JP2023062866
Kind Code:
A
Abstract:
To provide a machine learning method capable of easily deciding an appropriate CIP process condition for an object to be processed.SOLUTION: A machine learning method includes: calculating a reward for a result of decision of a cold isostatic pressing process condition based on an acquired state variable; updating, based on the reward, a function to decide at least one cold isostatic pressing process condition from the state variable; and deciding a cold isostatic pressing process condition which yields a highest reward, by repeating update of the function. The cold isostatic pressing process condition is at least one of a first parameter related to an object to be processed, a second parameter related to a preceding process of a cold isostatic pressing process, and a third parameter related to operating conditions of a cold isostatic pressing apparatus, and the at least one physical amount is related to at least one of sterilization and inactivation, shucking, improvement of taste and flavor, and improvement of texture and nourishment of the object to be processed.SELECTED DRAWING: Figure 1
Inventors:
ITO HIROYUKI
MINAMINO TOMOYA
SHIRAKASHI HIROSHI
KISHI CHIKAKAZU
MIZOGAMI TADATAKA
MIYASHITA YASUHIDE
MINAMINO TOMOYA
SHIRAKASHI HIROSHI
KISHI CHIKAKAZU
MIZOGAMI TADATAKA
MIYASHITA YASUHIDE
Application Number:
JP2021173017A
Publication Date:
May 09, 2023
Filing Date:
October 22, 2021
Export Citation:
Assignee:
KOBE STEEL LTD
International Classes:
A23L3/015; A23L5/10; G06N3/02; G06N20/00
Attorney, Agent or Firm:
Masataka Kotani
Takashi Gyomu
Takashi Gyomu