| Presentation | 2020-01-17 [Poster Presentation] Investigation of neuron with sigmoid activation function for quantum-flux-parametron-based neural network Daiki Yamaguchi, Yuki Yamanashi, Nobuyuki Yoshikawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | An ANN is a circuit that imitates the brain of a human, which is effective for pattern recognition and ?ltering, and so on. A superconducting circuit can operate at the high fre-quency with low power consumption, it is attractive for realization of energy-ef?cient ANNs. In order to perform ANN learning, it is necessary for the activation function of neurons in the middle layer to have characteristics like sigmoid/hyperbolic tangent function. The rf-superconducting quantum interference device (rf-SQUID) is composed of a supercon-ducting loop including a Josephson junction and an inductance, and when a magnetic ?ux is applied to the circuit, a circular current is generated as if sine is inclined. Applying the cir-cuit of rf-SQUID, it is known that the input/output relationship of magnetic ?ux has charac-teristics close to the sigmoid/hyperbolic tangent function. In this study, we designed a neuron with a hyperbolic tangent activation function using the AIST fabrication process. Fur-thermore, we investigated tuning method of the quantum-flux-parametron-based supercon-ducting neural network toward its learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | rf-SQUIDANNsigmoidhyperbolic tangent |
| Paper # | SCE2019-60 |
| Date of Issue | 2020-01-09 (SCE) |
| Conference Information | |
| Committee | SCE |
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| Conference Date | 2020/1/16(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Satoshi Kohjiro(AIST) |
| Vice Chair | |
| Secretary | (Yokohama National Univ.) |
| Assistant | Hiroyuki Akaike(Daido Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Superconductive Electronics |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Investigation of neuron with sigmoid activation function for quantum-flux-parametron-based neural network |
| Sub Title (in English) | |
| Keyword(1) | rf-SQUIDANNsigmoidhyperbolic tangent |
| 1st Author's Name | Daiki Yamaguchi |
| 1st Author's Affiliation | Yokohama National University(Yokohama Natl. Univ.) |
| 2nd Author's Name | Yuki Yamanashi |
| 2nd Author's Affiliation | Yokohama National University(Yokohama Natl. Univ.) |
| 3rd Author's Name | Nobuyuki Yoshikawa |
| 3rd Author's Affiliation | Yokohama National University(Yokohama Natl. Univ.) |
| Date | 2020-01-17 |
| Paper # | SCE2019-60 |
| Volume (vol) | vol.119 |
| Number (no) | SCE-369 |
| Page | pp.pp.125-127(SCE), |
| #Pages | 3 |
| Date of Issue | 2020-01-09 (SCE) |