System and method for incremental learning through state-based real-time adaptations in neural networks

An artificial intelligence system and method for state-based learning using one or more adaptive response states of the artificial intelligence system are provided. A controller for modifying a neural network engine is configured to monitor a data stream having a data pattern by comparing the data p...

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Bibliographic Details
Main Author Kursun, Eren
Format Patent
LanguageEnglish
Published 13.12.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Summary:An artificial intelligence system and method for state-based learning using one or more adaptive response states of the artificial intelligence system are provided. A controller for modifying a neural network engine is configured to monitor a data stream having a data pattern by comparing the data pattern to a trained data pattern; identify a change in the data pattern of the data stream; determine a response state of the neural network learning engine, the state defining one or more neural network parameters for monitoring the data stream with the neural network learning engine; identify a predetermined policy for reconfiguring the neural network learning engine based on the data pattern and the response state; and in response to identifying the change in the data pattern and determining the response state, reconfigure the one or more neural network parameters according to the predetermined policy.
Bibliography:Application Number: US201816197193