Method for the computer-aided configuration of a data-driven model on the basis of training data

US11610112B2 · kind B2 · utility

Assignee

• Siemens Aktiengesellschaft · DE

Inventors

• Thomas Engel · Aalen, DE
• Alexander Michael Gigler · Untermeitingen, DE

Key dates

• Filing date: Jun 7, 2018
• Grant date: Mar 21, 2023
• Expiry date: Jan 18, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/09
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A method for the computer-assisted configuration of a data-driven model on the basis of training data is provided. The method is characterised in that the series of measurements are subjected to a suitable preprocessing process comprising a binning step, wherein measurement characteristics which existed during the measurement of the measurement values in question are taken into consideration. A suitable data-driven model such as a neural network is then learned on the basis of the pre-processed series of measurements. This learned data-driven model makes it possible to accurately forecast target vectors in accordance with associated series of measurements. The method can, for example, be used to analyse optical spectra. More particularly, it is possible to predict using the learned model whether the tissue sample for which an optical spectrum was detected represents diseased tissue.