Title of article
Rigorous results for the Hopfield-type neural networks
Author/Authors
B.V. and Litinskii، نويسنده , , L.B.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2003
Pages
3
From page
537
To page
539
Abstract
Usually, the learning consists in repeated showings of a standard. Inevitably, the showings are accompanied by distortions of the standard. How does the result of the learning depend on these distortions? For the Hopfield-type network we solve the problem analytically in the case of the memorized patterns are the distorted copies of the same standard.
Keywords
Fixed points , Hopfield model
Journal title
Nuclear Instruments and Methods in Physics Research Section A
Serial Year
2003
Journal title
Nuclear Instruments and Methods in Physics Research Section A
Record number
2198682
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