Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
Boltzmann machine neural network devices using single-electron tunnelling
Autore:
Yamada, T; Akazawa, M; Asai, T; Amemiya, Y;
Indirizzi:
Hokkaido Univ, Dept Elect Engn, Sapporo, Hokkaido 0608628, Japan Hokkaido Univ Sapporo Hokkaido Japan 0608628 oro, Hokkaido 0608628, Japan
Titolo Testata:
NANOTECHNOLOGY
fascicolo: 1, volume: 12, anno: 2001,
pagine: 60 - 67
SICI:
0957-4484(200103)12:1<60:BMNNDU>2.0.ZU;2-J
Fonte:
ISI
Lingua:
ENG
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Engineering, Computing & Technology
Citazioni:
6
Recensione:
Indirizzi per estratti:
Indirizzo: Yamada, T Hokkaido Univ, Dept Elect Engn, Kita 13,Nishi 8, Sapporo, Hokkaido 0608628, Japan Hokkaido Univ Kita 13,Nishi 8 Sapporo Hokkaido Japan 0608628 pan
Citazione:
T. Yamada et al., "Boltzmann machine neural network devices using single-electron tunnelling", NANOTECHNOL, 12(1), 2001, pp. 60-67

Abstract

We proposed a method of implementing the Boltzmann machine neural network on electronic circuits by making use of the single-electron tunnelling phenomenon. The single-electron circuit shows stochastic behaviour in its operation because of the probabilistic nature of the electron tunnelling phenomenon. It can therefore be successfully used for implementing the stochastic neuron operation of the Boltzmann machine. The authors developed a single-electron neuron circuit that can produce the function required for the Boltzmann machine neuron. A method for constructing Boltzmann machine networks by combining the neuron circuits was also developed. The simulated-annealingoperation can be performed easily by regulating an external control voltage for the network circuits. A sample network was designed that solves an instance of a combinatorial optimization problem. Computer simulation demonstrated that, through the simulated-annealing process, the sample network canconverge to the global minimum energy state that represents the correct solution to the problem.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 23/09/20 alle ore 10:43:26