Invention Grant
- Patent Title: System and method for online reconfiguration of a neural network system
-
Application No.: US16209372Application Date: 2018-12-04
-
Publication No.: US11669713B2Publication Date: 2023-06-06
- Inventor: Eren Kursun
- Applicant: Bank of America Corporation
- Applicant Address: US NC Charlotte
- Assignee: BANK OF AMERICA CORPORATION
- Current Assignee: BANK OF AMERICA CORPORATION
- Current Assignee Address: US NC Charlotte
- Agency: Moore & Van Allen PLLC
- Agent Seongun M. Hong
- Main IPC: G06N3/02
- IPC: G06N3/02 ; G06F9/445

Abstract:
The present disclosure is directed to a novel system for performing online reconfiguration of a neural network. Once a neural network has been implemented into a production environment, the system may use underlying construction logic to perform an in-situ reconfiguration of neural network elements while the neural network is live. The system may accomplish the reconfiguration by modifying the architecture of the neural network and/or performing adversarial training and/or retraining. In this way, the system may provide a way increase the performance of the neural network over time along one or more performance parameters or metrics.
Public/Granted literature
- US20200175350A1 SYSTEM AND METHOD FOR ONLINE RECONFIGURATION OF A NEURAL NETWORK SYSTEM Public/Granted day:2020-06-04
Information query