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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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.
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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.
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.
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Centroid neural network with a divergence measure for GPDF data clustering.
Park DC, Kwon OH, Chung J., IEEE Trans Neural Netw 19(6), 2008
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