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US Patent 9053431 Intelligent control with hierarchical stacked neural networks

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Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9053431
Date of Patent
June 9, 2015
Patent Application Number
14322147
Date Filed
July 2, 2014
Patent Citations Received
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US Patent 12124954 Intelligent control with hierarchical stacked neural networks
3
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US Patent 11982661 Sensory transformer method of generating ingredients and formulas
4
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US Patent 12026624 System and method for loss function metalearning for faster, more accurate training, and smaller datasets
5
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US Patent 12112521 Room acoustics simulation using deep learning image analysis
6
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US Patent 11669716 System and method for implementing modular universal reparameterization for deep multi-task learning across diverse domains
7
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US Patent 11685048 Enhancing robot learning
8
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US Patent 11681943 Artificial intelligence development via user-selectable/connectable model representations
9
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US Patent 11775841 Process and system including explainable prescriptions through surrogate-assisted evolution
...
Patent Primary Examiner
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Li Wu Chang
Patent abstract

A system and method of detecting an aberrant message is provided. An ordered set of words within the message is detected. The set of words found within the message is linked to a corresponding set of expected words, the set of expected words having semantic attributes. A set of grammatical structures represented in the message is detected, based on the ordered set of words and the semantic attributes of the corresponding set of expected words. A cognitive noise vector comprising a quantitative measure of a deviation between grammatical structures represented in the message and an expected measure of grammatical structures for a message of the type is then determined. The cognitive noise vector may be processed by higher levels of the neural network and/or an external processor.

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