PATTERN IDENTIFIER SYSTEM

A computing device identifies a pattern in a dataset. A first neural network model is executed using data points as input to input nodes of the first neural network model to generate first output node data. A second neural network model is executed using the first output node data as input to input...

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Bibliographic Details
Main Authors Leeman-Munk, Samuel Paul, Hunt, Stuart Andrew, Crowell, Richard Welland
Format Patent
LanguageEnglish
Published 26.07.2018
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:A computing device identifies a pattern in a dataset. A first neural network model is executed using data points as input to input nodes of the first neural network model to generate first output node data. A second neural network model is executed using the first output node data as input to input nodes of the second neural network model to generate second output node data. The second output node data includes a plurality of output values for each x-value of the plurality of data points. For each x-value, an output value of the plurality of output values is associated with a single pattern type of a plurality of predefined pattern types. For each pattern type of the plurality of predefined pattern types, a start time and a stop time is identified when the output value for the associated pattern type exceeds a predefined pattern window threshold value.
Bibliography:Application Number: US201715658566