Distributed fuzzy learning using the MULTISOFT machine

Authors:
M. Russo
Affiliations:
Dipartimento di Fisica, Messina Univ.
Venue:
IEEE Transactions on Neural Networks
Year:
2001

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Abstract

Describes PARGEFREX, a distributed approach to genetic-neuro-fuzzy learning which has been implemented using the MULTISOFT machine, a low-cost form of personal computers built at the University of Messina. The performance of the serial version is hugely enhanced with the simple parallelization scheme described in the paper. Once a learning dataset is fixed, there is a very high super linear speedup in the average time needed to reach a prefixed learning error, i.e., if the number of personal computers increases by n times, the mean learning time becomes less than 1/n times