The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 20, 2018

Filed:

Jul. 24, 2012
Applicants:

Jochen Cleve, København, DE;

Ralph Grothmann, München, DE;

Kai Heesche, München, DE;

Christoph Tietz, Ottobrunn, DE;

Hans-georg Zimmermann, Starnberg/Percha, DE;

Inventors:

Jochen Cleve, København, DE;

Ralph Grothmann, München, DE;

Kai Heesche, München, DE;

Christoph Tietz, Ottobrunn, DE;

Hans-Georg Zimmermann, Starnberg/Percha, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/10 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06N 3/10 (2013.01); G06N 3/04 (2013.01);
Abstract

Disclosed is a method for the computer-assisted modeling of a technical system. One or more output vectors are modeled dependent on one or more input vectors by the learning process of a neural network on the basis of training data of known input vectors and output vectors. Each output vector comprises one or more operating variables of the technical system, and each input vector comprises one or more input variables that influence the operating variable(s). The neural network is a feedforward network with an input layer, a plurality of hidden layers, and an output layer. The output layer comprises a plurality of output clusters, each of which consists of one or more output neurons, the plurality of output clusters corresponding to the plurality of hidden layers. Each output cluster describes the same output vector and is connected to another hidden layer.


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