Invention Grant
- Patent Title: Training of oscillatory neural networks
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Application No.: US16919367Application Date: 2020-07-02
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Publication No.: US11977982B2Publication Date: 2024-05-07
- Inventor: Siegfried Friedrich Karg , Elisabetta Corti
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Douglas M. Crockatt
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/048 ; G06N3/049 ; G06N3/063 ; G06N3/084

Abstract:
The network comprises at least one network layer in which a plurality of electronic oscillators, interconnected via programmable coupling elements storing respective network weights, generate oscillatory signals at time delays dependent on the input signal to propagate the input signal from an input to an output of that layer. The network is adapted to provide a network output signal dependent substantially linearly on phase of oscillatory signals in the last layer of the network. The method includes calculating a network error dependent on the output signal and a desired output for the training sample, and calculating updates for respective network weights by backpropagation of the error such that weight-updates for a network layer are dependent on a vector of time delays at the input to that layer and the calculated error at the output of that layer.
Public/Granted literature
- US20220004876A1 TRAINING OF OSCILLATORY NEURAL NETWORKS Public/Granted day:2022-01-06
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