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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.

Patent No.:

US 12572807 B1

PDFFull Text
Date of Patent:
Mar. 10, 2026

Filed:

Sep. 01, 2020

Neural network methods for defining system topology

Applicants:

Troy Aaron Harvey, Brighton, UT (US);

Jeremy David Fillingim, Salt Lake City, UT (US);

Inventors:

Troy Aaron Harvey, Brighton, UT (US);

Jeremy David Fillingim, Salt Lake City, UT (US);

Assignee:

PassiveLogic, Inc., Holladay, UT (US);

Attorney:
Primary Examiner:

George Giroux

Int. Cl.
CPC ...
G06N 3/084 (2023.01); B60H 1/00 (2006.01); F24F 11/64 (2018.01); F24F 11/65 (2018.01); G05B 13/02 (2006.01); G05B 13/04 (2006.01); G05B 19/042 (2006.01); G06F 17/16 (2006.01); G06F 30/18 (2020.01); G06F 30/27 (2020.01); G06N 3/04 (2023.01); G06N 3/047 (2023.01); G06N 3/048 (2023.01); G06N 3/063 (2023.01); G06N 3/08 (2023.01); G06Q 10/067 (2023.01); G06Q 50/163 (2024.01); F24F 120/10 (2018.01); F24F 120/20 (2018.01); F24F 140/50 (2018.01); G06F 119/06 (2020.01); G06F 119/08 (2020.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); B60H 1/00285 (2013.01); F24F 11/64 (2018.01); F24F 11/65 (2018.01); G05B 13/027 (2013.01); G05B 13/04 (2013.01); G05B 19/042 (2013.01); G06F 17/16 (2013.01); G06F 30/18 (2020.01); G06F 30/27 (2020.01); G06N 3/04 (2013.01); G06N 3/047 (2023.01); G06N 3/048 (2023.01); G06N 3/063 (2013.01); G06N 3/08 (2013.01); G06Q 10/067 (2013.01); G06Q 50/163 (2013.01); F24F 2120/10 (2018.01); F24F 2120/20 (2018.01); F24F 2140/50 (2018.01); G05B 2219/2614 (2013.01); G06F 2119/06 (2020.01); G06F 2119/08 (2020.01);
Abstract

A neural network in one embodiment is built by decomposing a structure into different building materials creating neurons that represent building materials and open spaces in a structure. Subsystems in the building have their neurons concatenated together to create same length neuron strings. In some embodiments, neurons in a short neuron string are split to make longer neuron strings. In some embodiments, neurons are added to some neuron strings to represent inside features, air features, and outside features.

Find Patent Forward Citations

Harvey, Troy. (2026). Neural network methods for defining system topology (U.S. Patent No. 12572807). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12572807

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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