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 10754063 B1

PDF
Full Text
Expired
Date of Patent:
Aug. 25, 2020

Filed:

Jun. 14, 2016
Applicant:

The Climate Corporation, San Francisco, CA (US);

Inventor:

Valliappa Lakshmanan, Bellevue, WA (US);

Assignee:

THE CLIMATE CORPORATION, San Francisco, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01W 1/00 (2006.01); G01W 1/10 (2006.01); G01S 7/41 (2006.01); G01S 13/95 (2006.01); G06Q 10/04 (2012.01); G06Q 50/26 (2012.01); G06Q 50/30 (2012.01);
U.S. Cl.
CPC ...
G01W 1/10 (2013.01); G01S 7/417 (2013.01); G01S 13/951 (2013.01); G06Q 10/04 (2013.01); G06Q 50/265 (2013.01); G06Q 50/30 (2013.01); Y02A 90/18 (2018.01);
Abstract

In an embodiment, radar observation data for time points are received at an input layer of a rain rate prediction neural network. The radar observations are forward propagated via hidden layers of the network to determine rain rates for the time points. The rain rates are integrated over a time period, determined based on the time points, to determine a predicted rainfall amount. The predicted rainfall amount is compared with an actual rainfall amount, determined based on received rainfall measurements, to determine an error. If the error does not satisfy certain criteria, then the error is apportioned to each of the time points, the apportioned errors are back propagated via the hidden layers, and weights associated with nodes in the hidden layers are updated. The radar observation data is again forward propagated via the layers, multiplied by the updated weights, and used to determine new rain rates.


Find Patent Forward Citations

Lakshmanan, Valliappa. (2020). Supervised neural network to predict unlabeled rain rates (U.S. Patent No. 10754063). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/10754063

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