Characterization of Analog Local Cluster Neural Network Hardware for Control
Sitte, J..; Liang Zhang; Rueckert, U..
Neural Networks, IEEE Transactions on
Volume 18, Issue 4, July 2007 Page(s):1242 - 1253
Digital Object Identifier   10.1109/TNN.2007.899518
Summary: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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