The Memory of Fuzzy Neural Network Based on Lattice Point Distribution

Abstract:

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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.

Info:

Periodical:

Key Engineering Materials (Volumes 467-469)

Edited by:

Dehuai Zeng

Pages:

1416-1420

DOI:

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

Citation:

J. L. Li "The Memory of Fuzzy Neural Network Based on Lattice Point Distribution", Key Engineering Materials, Vols. 467-469, pp. 1416-1420, 2011

Online since:

February 2011

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Price:

$35.00

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