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Modular neural associative memory capable of storage of large amounts of data

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2 Author(s)
Reznik, A.M. ; Inst. of the Math. Machines & Syst., Ukrainian Nat. Acad. of Sci., Kiev, Ukraine ; Dekhtyarenko, O.K.

A new neural net architecture based on the Hopfield network is proposed. This architecture overcomes the memory limitation that is peculiar to a single network at the cost of moderate computational expenses. Parameters' influence on read-write processes is considered, possible read errors are defined and estimations for associative recall effectiveness as a function of search complexity are given. Theoretical estimations are in close correspondence with experimental results obtained for random vectors dataset.

Published in:

Neural Networks, 2003. Proceedings of the International Joint Conference on  (Volume:4 )

Date of Conference:

20-24 July 2003