The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
우리는 다음과 같은 방법을 개발했습니다. 단일전자회로 기술을 이용하여 전자회로에 다중값 홉필드 네트워크 구현. 단일 전자 회로는 전자의 개별 터널 전송으로 인해 작동 시 양자화된 동작을 보여줍니다. 따라서 다중 값 Hopfield 네트워크의 뉴런 연산을 구현하는 데 성공적으로 사용될 수 있습니다. 저자는 다중 값 뉴런에 필요한 계단 전달 함수를 생성할 수 있는 단일 전자 뉴런 회로를 개발했습니다. 뉴런 회로를 결합해 다중값 홉필드 네트워크를 구성하는 방법도 개발됐다. 2차 정수 계획법 문제의 예를 해결하는 샘플 네트워크가 설계되었습니다. 그리고 컴퓨터 시뮬레이션을 통해 샘플 네트워크가 문제에 대한 올바른 솔루션을 나타내는 최적의 상태로 수렴할 수 있음이 입증되었습니다.
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부
Takashi YAMADA, Yoshihito AMEMIYA, "A Multiple-Valued Hopfield Network Device Using Single-Electron Circuits" in IEICE TRANSACTIONS on Electronics,
vol. E82-C, no. 9, pp. 1615-1622, September 1999, doi: .
Abstract: We developd a method of implementing a multiple-valued Hopfield network on electronic circuits by using single-electron circuit technology. The single-electron circuit shows quantized behavior in its operation because of the discrete tunnel transport of electrons. It can therefore be successfully used for implementing neuron operation of the multiple-valued Hopfield network. The authors developed a single-electron neuron circuit that can produce the staircase transfer function required for the multiple-valued neuron. A method for constructing a multiple-valued Hopfield network by combining the neuron circuits was also developed. A sample network was designed that solves an example of the quadratic integer-programming problem. And a computer simulation demonstrated that the sample network can converge to its optimal state that represents the correct solution to the problem.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e82-c_9_1615/_p
부
@ARTICLE{e82-c_9_1615,
author={Takashi YAMADA, Yoshihito AMEMIYA, },
journal={IEICE TRANSACTIONS on Electronics},
title={A Multiple-Valued Hopfield Network Device Using Single-Electron Circuits},
year={1999},
volume={E82-C},
number={9},
pages={1615-1622},
abstract={We developd a method of implementing a multiple-valued Hopfield network on electronic circuits by using single-electron circuit technology. The single-electron circuit shows quantized behavior in its operation because of the discrete tunnel transport of electrons. It can therefore be successfully used for implementing neuron operation of the multiple-valued Hopfield network. The authors developed a single-electron neuron circuit that can produce the staircase transfer function required for the multiple-valued neuron. A method for constructing a multiple-valued Hopfield network by combining the neuron circuits was also developed. A sample network was designed that solves an example of the quadratic integer-programming problem. And a computer simulation demonstrated that the sample network can converge to its optimal state that represents the correct solution to the problem.},
keywords={},
doi={},
ISSN={},
month={September},}
부
TY - JOUR
TI - A Multiple-Valued Hopfield Network Device Using Single-Electron Circuits
T2 - IEICE TRANSACTIONS on Electronics
SP - 1615
EP - 1622
AU - Takashi YAMADA
AU - Yoshihito AMEMIYA
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E82-C
IS - 9
JA - IEICE TRANSACTIONS on Electronics
Y1 - September 1999
AB - We developd a method of implementing a multiple-valued Hopfield network on electronic circuits by using single-electron circuit technology. The single-electron circuit shows quantized behavior in its operation because of the discrete tunnel transport of electrons. It can therefore be successfully used for implementing neuron operation of the multiple-valued Hopfield network. The authors developed a single-electron neuron circuit that can produce the staircase transfer function required for the multiple-valued neuron. A method for constructing a multiple-valued Hopfield network by combining the neuron circuits was also developed. A sample network was designed that solves an example of the quadratic integer-programming problem. And a computer simulation demonstrated that the sample network can converge to its optimal state that represents the correct solution to the problem.
ER -