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.

Download
Es wurde kein Volltext hochgeladen. Nur Publikationsnachweis!
Zeitschriftenaufsatz | Veröffentlicht | Englisch
Autor
; ;
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
Zeitschriftentitel
IEEE Transactions on Neural Networks, Special Issue on Neural Networks for Feedback Control Systems
Band
18
Zeitschriftennummer
4
Seite
1242-1253
ISSN
PUB-ID

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. doi:10.1109/TNN.2007.899518
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

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®

Quellen

PMID: 17668675
PubMed | Europe PMC

Suchen in

Google Scholar