Characterization of Analog Local Cluster Neural Network Hardware for Control
Sitte J, Zhang L, Rückert U (2007)
IEEE Transactions on Neural Networks, Special Issue on Neural Networks for Feedback Control Systems 18(4): 1242-1253.
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Autor*in
Sitte, Joaquin;
Zhang, Liang;
Rückert, UlrichUniBi
Abstract / Bemerkung
The local cluster neural network (LCNN) was designed
for analog realization especially suited to applications in
control systems. It uses clusters of sigmoidal neurons to generate
basis functions that are localized in multidimensional input space.
Sigmoidal neurons are well suited to analog electronic realization.
In this paper, we report the results of extensive measurements that
characterize the computational capabilities of the first analog very
large scale integration (VLSI) realization of the LCNN. Despite
manufacturing fluctuations and the inherent low precision of
analog electronics, the test results suggest that it may be suitable
for use in feedback control systems.
Erscheinungsjahr
2007
Zeitschriftentitel
IEEE Transactions on Neural Networks, Special Issue on Neural Networks for Feedback Control Systems
Band
18
Ausgabe
4
Seite(n)
1242-1253
ISSN
1045-9227
Page URI
https://pub.uni-bielefeld.de/record/2145075
Zitieren
Sitte J, Zhang L, Rückert U. Characterization of Analog Local Cluster Neural Network Hardware for Control. IEEE Transactions on Neural Networks, Special Issue on Neural Networks for Feedback Control Systems. 2007;18(4):1242-1253.
Sitte, J., Zhang, L., & Rückert, U. (2007). Characterization of Analog Local Cluster Neural Network Hardware for Control. IEEE Transactions on Neural Networks, Special Issue on Neural Networks for Feedback Control Systems, 18(4), 1242-1253. https://doi.org/10.1109/TNN.2007.899518
Sitte, Joaquin, Zhang, Liang, and Rückert, Ulrich. 2007. “Characterization of Analog Local Cluster Neural Network Hardware for Control”. IEEE Transactions on Neural Networks, Special Issue on Neural Networks for Feedback Control Systems 18 (4): 1242-1253.
Sitte, J., Zhang, L., and Rückert, U. (2007). Characterization of Analog Local Cluster Neural Network Hardware for Control. IEEE Transactions on Neural Networks, Special Issue on Neural Networks for Feedback Control Systems 18, 1242-1253.
Sitte, J., Zhang, L., & Rückert, U., 2007. Characterization of Analog Local Cluster Neural Network Hardware for Control. IEEE Transactions on Neural Networks, Special Issue on Neural Networks for Feedback Control Systems, 18(4), p 1242-1253.
J. Sitte, L. Zhang, and U. Rückert, “Characterization of Analog Local Cluster Neural Network Hardware for Control”, IEEE Transactions on Neural Networks, Special Issue on Neural Networks for Feedback Control Systems, vol. 18, 2007, pp. 1242-1253.
Sitte, J., Zhang, L., Rückert, U.: Characterization of Analog Local Cluster Neural Network Hardware for Control. IEEE Transactions on Neural Networks, Special Issue on Neural Networks for Feedback Control Systems. 18, 1242-1253 (2007).
Sitte, Joaquin, Zhang, Liang, and Rückert, Ulrich. “Characterization of Analog Local Cluster Neural Network Hardware for Control”. IEEE Transactions on Neural Networks, Special Issue on Neural Networks for Feedback Control Systems 18.4 (2007): 1242-1253.
Daten bereitgestellt von European Bioinformatics Institute (EBI)
1 Zitation in Europe PMC
Daten bereitgestellt von Europe PubMed Central.
Centroid neural network with a divergence measure for GPDF data clustering.
Park DC, Kwon OH, Chung J., IEEE Trans Neural Netw 19(6), 2008
PMID: 18541496
Park DC, Kwon OH, Chung J., IEEE Trans Neural Netw 19(6), 2008
PMID: 18541496
18 References
Daten bereitgestellt von Europe PubMed Central.
analog brownian weight movement for learning of artificial neural networks
belli, Proc Eur Symp Artif Neural Netw (), 1995
belli, Proc Eur Symp Artif Neural Netw (), 1995
An analog neural network implementation in fixed time of adjustable-order statistic filters and applications.
Mestari M., IEEE Trans Neural Netw 15(3), 2004
PMID: 15384563
Mestari M., IEEE Trans Neural Netw 15(3), 2004
PMID: 15384563
A CMOS feedforward neural-network chip with on-chip parallel learning for oscillation cancellation.
Liu J, Brooke MA, Hirotsu K., IEEE Trans Neural Netw 13(5), 2002
PMID: 18244513
Liu J, Brooke MA, Hirotsu K., IEEE Trans Neural Netw 13(5), 2002
PMID: 18244513
VLSI implementations of threshold logic-a comprehensive survey.
Beiu V, Quintana JM, Avedillo MJ., IEEE Trans Neural Netw 14(5), 2003
PMID: 18244573
Beiu V, Quintana JM, Avedillo MJ., IEEE Trans Neural Netw 14(5), 2003
PMID: 18244573
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
krner, Analog VLSI Implementation of a Local Cluster Neural Net (), 2000
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
gaussian networks for direct adaptive control
sanner, 1991 American Control Conference ACC (), 1991
sanner, 1991 American Control Conference ACC (), 1991
analog backpropagation chip with on-chip-learing
stupmann, Proc 5th Int Heinz Nixdorf Symp Autonom Minirobots Res Edutainment (AMiRE) HNI-Verlagsschriftenreihe (), 2001
stupmann, Proc 5th Int Heinz Nixdorf Symp Autonom Minirobots Res Edutainment (AMiRE) HNI-Verlagsschriftenreihe (), 2001
Weight perturbation: an optimal architecture and learning technique for analog VLSI feedforward and recurrent multilayer networks.
Jabri M, Flower B., IEEE Trans Neural Netw 3(1), 1992
PMID: 18276417
Jabri M, Flower B., IEEE Trans Neural Netw 3(1), 1992
PMID: 18276417
AUTHOR UNKNOWN, 0
cauwenberghs, Advances in neural information processing systems 6(), 1994
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
AUTHOR UNKNOWN, 0
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