The Memory of Fuzzy Neural Network Based on Lattice Point Distribution

Jin Ling Li

doi:10.4028/www.scientific.net/KEM.467-469.1416

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 467-469The Memory of Fuzzy Neural Network Based on...

The Memory of Fuzzy Neural Network Based on Lattice Point Distribution

Abstract:

This paper deals with the condition for a fuzzy neural network to realize memory, gives the concept of lattice point and proves that if sample set is of lattice point distribution the sample set can be memorized by a fuzzy neural network, otherwise the fuzzy neural network will lost its memory. A theorem shows that Choice-memory method not only reduces computation but also ensures memory of fuzzy neural network.

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Periodical:

Key Engineering Materials (Volumes 467-469)

Pages:

1416-1420

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.467-469.1416

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Online since:

February 2011

Authors:

Jin Ling Li

Keywords:

Fuzzy Neural Network (FNN), Lattice Point, Memory Component

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References

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