An analog-current mode local cluster neural net
Sitte J, Korner T, Rückert U (1997)
In: Emerging Technologies and Factory Automation Proceedings, 1997. ETFA '97., 1997 6th International Conference on. IEEE: 237-242.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Sitte, J.;
Korner, T.;
Rückert, UlrichUniBi
Abstract / Bemerkung
The local cluster (LC) artificial neural net is a special kind of multilayer perceptron where the sigmoid functions combine in clusters that have a localised response in input space. The proponents of the LC architecture have shown that it is versatile and trains well. They also suggested that the LC nets could be suitable for realisation in analog VLSI. We investigated the feasibility of an analog realisation of LC nets by following through the complete cycle from design to fabrication. We found that the all the required mathematical functions call be realised in current mode bipolar and CMOS circuits. In this paper we discuss the main design issues paying special attention to the alternative training regimes for an LC chip
Stichworte
analog VLSI;
analog-current mode local cluster neural net;
current mode bipolar circuits;
LC architecture;
integrated circuit design;
CMOS circuits;
current-mode logic;
analogue processing circuits;
bipolar analogue integrated circuits;
CMOS analogue integrated circuits;
multilayer perceptron;
localised response;
sigmoid functions;
neural chips;
multilayer perceptrons
Erscheinungsjahr
1997
Titel des Konferenzbandes
Emerging Technologies and Factory Automation Proceedings, 1997. ETFA '97., 1997 6th International Conference on
Seite(n)
237-242
ISBN
0780341929
Page URI
https://pub.uni-bielefeld.de/record/2285884
Zitieren
Sitte J, Korner T, Rückert U. An analog-current mode local cluster neural net. In: Emerging Technologies and Factory Automation Proceedings, 1997. ETFA '97., 1997 6th International Conference on. IEEE; 1997: 237-242.
Sitte, J., Korner, T., & Rückert, U. (1997). An analog-current mode local cluster neural net. Emerging Technologies and Factory Automation Proceedings, 1997. ETFA '97., 1997 6th International Conference on, 237-242. IEEE. https://doi.org/10.1109/ETFA.1997.616275
Sitte, J., Korner, T., and Rückert, Ulrich. 1997. “An analog-current mode local cluster neural net”. In Emerging Technologies and Factory Automation Proceedings, 1997. ETFA '97., 1997 6th International Conference on, 237-242. IEEE.
Sitte, J., Korner, T., and Rückert, U. (1997). “An analog-current mode local cluster neural net” in Emerging Technologies and Factory Automation Proceedings, 1997. ETFA '97., 1997 6th International Conference on (IEEE), 237-242.
Sitte, J., Korner, T., & Rückert, U., 1997. An analog-current mode local cluster neural net. In Emerging Technologies and Factory Automation Proceedings, 1997. ETFA '97., 1997 6th International Conference on. IEEE, pp. 237-242.
J. Sitte, T. Korner, and U. Rückert, “An analog-current mode local cluster neural net”, Emerging Technologies and Factory Automation Proceedings, 1997. ETFA '97., 1997 6th International Conference on, IEEE, 1997, pp.237-242.
Sitte, J., Korner, T., Rückert, U.: An analog-current mode local cluster neural net. Emerging Technologies and Factory Automation Proceedings, 1997. ETFA '97., 1997 6th International Conference on. p. 237-242. IEEE (1997).
Sitte, J., Korner, T., and Rückert, Ulrich. “An analog-current mode local cluster neural net”. Emerging Technologies and Factory Automation Proceedings, 1997. ETFA '97., 1997 6th International Conference on. IEEE, 1997. 237-242.
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