Invention Publication
- Patent Title: HYBRID NEURAL NETWORK SYSTEM WITH MULTI-THREADED INPUTS
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Application No.: US17965080Application Date: 2022-10-13
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Publication No.: US20240135154A1Publication Date: 2024-04-25
- Inventor: Rahul Uniyal , Mohit Dhingra , Anuja Savant , Srikanth Vemula , Namrata Kurmi
- 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
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G06F40/20 ; G06N3/08

Abstract:
Systems and methods for predicting application failures using a hybrid neural network with multi-threaded inputs are provided. A method includes storing, in a first database, information relating to a plurality of digital applications, and storing, in a second database, information relating to historical performance issues associated with the plurality of digital applications. The method may include training the hybrid neural network according to the particulars disclosed herein. The method may also include detecting a trigger event relating to one of the plurality of digital applications, and via the particulars disclosed herein, using the hybrid neural network to output a set of predicted application failures.
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