Garuda Documents : Penggunaan Sifat Pengingat Asosiatif Pada Jaringan Syaraf Tiruan Hopfield Diskret Untuk Pemulihan Data

TitlePenggunaan Sifat Pengingat Asosiatif Pada Jaringan Syaraf Tiruan Hopfield Diskret Untuk Pemulihan Data
Author Order1 of 1
Accreditation
AbstractThis research concern with application of discrete Hopfield neural networks for recovering data. Using associative memories properties of discrete Hopfield neural networks we can store a set of data patterns as a memories. The basic concepts of using discrete Hopfield neural networks as associative memories is to interpret the system’s neurons evolution as a movement of input pattern toward the one stored pattern most resembling the input pattern. The result shows that the application could recover false data to its origin.
Publisher NameJenderal Soedirman University
Publish Date2009-08-31
Publish Year2009
DoiDOI: 10.20884/1.dr.2009.5.2.25
Citation
SourceDinamika Rekayasa
Source IssueVol 5, No 2 (2009): Dinamika Rekayasa - Agustus 2009
Source Page45-49
Urlhttps://dinarek.unsoed.ac.id/jurnal/index.php/dinarek/article/view/25/23
AuthorAGUNG MUBYARTO, S.T, M.T
File429626.pdf