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VLSI design of radial functions hardware generator for neural computations

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2 Author(s)
P. Maffezzoni ; Dept. of Electron. Eng., Brescia Univ., Italy ; P. Gubian

Multidimensional radial functions (RFs) are widely used in several neural network schemes and may have interesting applications also in fuzzy logic based systems. Unfortunately their classical look-up table hardware implementation needs an external board that does not allow high speed real world applications. In this paper we introduce a new approach in which approximate RFs are completely generated in a very efficient way by fixed-point digital operators. The VLSI design of our general purpose RF hardware generator is discussed in detail, showing that it can be integrated in a wider neural system with little effort. Many RF generators (up to 100) can be integrated on a single chip giving rise to a computational system which is two orders of magnitude faster than classical look-up table implementations. The RF generator architecture has been used to implement the forward step of a radial basis function neural network in a single chip for a real world sensor application. The VLSI design of a network with 30 neurons and a cycle time of a few microseconds is investigated

Published in:

Microelectronics for Neural Networks and Fuzzy Systems, 1994., Proceedings of the Fourth International Conference on

Date of Conference:

26-28 Sep 1994