Invention Grant
- Patent Title: Method for adjusting output level of multilayer neural network neuron
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Application No.: US16710296Application Date: 2019-12-11
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Publication No.: US12026608B2Publication Date: 2024-07-02
- Inventor: Irina Kataeva , Shigeki Otsuka
- Applicant: DENSO CORPORATION
- Applicant Address: JP Kariya
- Assignee: DENSO CORPORATION
- Current Assignee: DENSO CORPORATION
- Current Assignee Address: JP Kariya
- Agency: MASCHOFF BRENNAN
- Priority: JP 17119685 2017.06.19
- Main IPC: G06N3/06
- IPC: G06N3/06 ; G06N3/065 ; G06N3/08 ; G06N3/084 ; G06N5/046 ; G06N20/00 ; G11C11/40 ; G11C11/54

Abstract:
A method for adjusting output level of a neuron in a multilayer neural network is provided. The multilayer neural network includes a memristor and an analog processing circuit, causing transmission of the signals between the neurons and the signal processing in the neurons to be performed in an analog region. The method includes an adjustment step that adjusts an output level of the neurons of each of the layers, causing the output value to become lower than a write threshold voltage of the memristor and to fall within a maximum output range set for the analog processing circuit executing the generation of the output value in accordance with the activation function when each of the output values of the neurons of each of the layers becomes highest.
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