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This is a record of a document published elsewhere, first published by the United States Patent and Trademark Office, as US-12547928-B2, on 10 February 2026. OpenTechnical did not first disclose it. The identifier, hashes and timestamps below record what this library served and when, not when the material became public. View the original.

OT-2026-000003062

Method and a system for applying machine learning to an application

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Classification
Sensors, Controls & Machine Vision › Industrial Control
Inventors
CLEVER DEBORA, DAI FAN, DIX MARCEL, KLOEPPER BENJAMIN, KOTRIWALA ARZAM MUZAFFAR, RODRIGUEZ PABLO
Assignee
ABB SCHWEIZ AG
Original source
US-12547928-B2, the United States Patent and Trademark Office, 10 February 2026
Document SHA-256
669420729613442ef42aab8a594116a29db7061a6302c207c0d027a8f517ec6c

Abstract

A method for applying machine learning to an application includes: a) generating a candidate policy by a learner; b) executing a program in at least one simulated application based on a set of candidate parameters provided based on the candidate policy and a state of the at least one simulated application, execution of the program providing interim results of tested sets of candidate parameters based on a measured performance information of the execution of the program; c) collecting a predetermined number of interim results and providing an end result based on a combination of the candidate parameters and/or the state with the measured performances information by a trainer; and d) generating a new candidate policy by the learner based on the end result.

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Citation

OpenTechnical Publication OT-2026-000003062, “Method and a system for applying machine learning to an application,” published September 15, 2026 at 19:17:05 UTC, https://opentechnical.org/p/OT-2026-000003062.

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