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Modified probabilistic neural network hardware implementation schemes

Zaknich, A. and Attikiouzel, Y. (1996) Modified probabilistic neural network hardware implementation schemes. In: Proceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference, 26 - 29 November, Perth, Western Australia pp. 167-172.

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The modified probabilistic neural network for nonlinear time series analysis was developed and introduced in 1991. It effectively represents a simple family of clustering methods for reducing the size of Specht's general regression neural network and retaining all its benefits. Three hardware implementation schemes for the most basic form of the modified probabilistic neural network are described. The first is an optoelectronic implementation and the other two are very large scale integration designs: a virtual implementation and a fully parallel implementation.

Item Type: Conference Paper
Copyright: © 1996 IEEE
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