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.
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
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