---
publication_id: "OT-2026-000000290"
title: "Method and apparatus for monitoring machine learning models"
published_at: "2026-09-15T19:02:42.486158Z"
canonical_url: "https://opentechnical.org/p/OT-2026-000000290"
categories:
  - "sensors-controls-machine-vision/industrial-control"
keywords:
  - "g05b13/027"
  - "g06n3/082"
---

# Method and apparatus for monitoring machine learning models

## Abstract

A method includes training a first control model by utilizing a first set of input data as first input, resulting in a trained first control model; copying the trained first control model to a second control model, wherein, after copying, the second input layer and the plurality of second hidden layers is identical to the plurality of first hidden layers, and the first output layer is replaced by the second output layer; freezing the plurality of second hidden layers; training the second control model by utilizing the first set of input data as second input, resulting in a trained second control model; and running the trained second control model by utilizing a second set of input data as second input, wherein the second output outputs the quality measure of the first control model.
