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:
Sep. 27, 2022

Filed:

Feb. 01, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventor:

Rudy R. Harry Putra, Yokohama, JP;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2006.01); G06Q 40/04 (2012.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06Q 40/04 (2013.01);
Abstract

A method is provided for commodity management. The method generates, using a Dynamic Boltzmann Machine (DyBM), a future mean prediction and a future standard deviation prediction of a financial time-series dataset for a commodity. The method measures, using Hellinger Distance (HD), an accuracy of the future mean prediction and the future standard deviation prediction. The method combines the future mean prediction and the future standard deviation prediction with the Hellinger Distance to determine a DyBM trustworthy prediction time period in which predictions by the DyBM, including the future mean prediction and the future standard deviation prediction, are deemed trustworthy. The method selectively performs an action relating to an ownership of the commodity based on at least one of the future mean prediction and the future standard deviation prediction, responsive to the future mean prediction and the future standard deviation prediction being generated during the DyBM trustworthy prediction time period.


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