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US Patent 10520905 Using forecasting to control target systems

Patent 10520905 was granted and assigned to Veritone on December, 2019 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributorsActivity
Is a
Patent
Patent
Current Assignee
Veritone
Veritone
Date Filed
April 28, 2017
Date of Patent
December 31, 2019
Patent Applicant
Veritone
Veritone
Patent Application Number
15582454
Patent Citations Received
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US Patent 11774923 Augmented deep learning using combined regression and artificial neural network modeling
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US Patent 11644806 Using active non-destructive state excitation of a physical system to model and control operations of the physical system
0
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US Patent 11892809 Controlling operation of an electrical grid using reinforcement learning and multi-particle modeling
0
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US Patent 11372382 Building management system with augmented deep learning using combined regression and artificial neural network modeling
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US Patent 10935940 Building management system with augmented deep learning using combined regression and artificial neural network modeling
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US Patent 11052772 Cooperative distributed control of target systems
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US Patent 11069926 Controlling ongoing battery system usage via parametric linear approximation
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10520905
Patent Primary Examiner
‌
Robert E Fennema

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