Penggunaan Sifat Pengingat Asosiatif Pada Jaringan Syaraf Tiruan Hopfield Diskret Untuk Pemulihan Data
This 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...
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Format: | Article |
Language: | Indonesian |
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Universitas Jenderal Soedirman
2009-02-01
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Series: | Dinamika Rekayasa |
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Online Access: | http://dinarek.unsoed.ac.id/jurnal/index.php/dinarek/article/view/25 |
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author | Agung Mubyarto |
author_facet | Agung Mubyarto |
author_sort | Agung Mubyarto |
collection | DOAJ |
description | This 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. |
first_indexed | 2024-12-23T06:33:41Z |
format | Article |
id | doaj.art-e63463beb89049f98b279a1cd5060dd9 |
institution | Directory Open Access Journal |
issn | 1858-3075 2527-6131 |
language | Indonesian |
last_indexed | 2024-12-23T06:33:41Z |
publishDate | 2009-02-01 |
publisher | Universitas Jenderal Soedirman |
record_format | Article |
series | Dinamika Rekayasa |
spelling | doaj.art-e63463beb89049f98b279a1cd5060dd92022-12-21T17:56:52ZindUniversitas Jenderal SoedirmanDinamika Rekayasa1858-30752527-61312009-02-0152454925Penggunaan Sifat Pengingat Asosiatif Pada Jaringan Syaraf Tiruan Hopfield Diskret Untuk Pemulihan DataAgung Mubyarto0Prodi Teknik Elektro Universitas Jenderal SoedirmanThis 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.http://dinarek.unsoed.ac.id/jurnal/index.php/dinarek/article/view/25associative memories, Hopfield neural networks, false data |
spellingShingle | Agung Mubyarto Penggunaan Sifat Pengingat Asosiatif Pada Jaringan Syaraf Tiruan Hopfield Diskret Untuk Pemulihan Data Dinamika Rekayasa associative memories, Hopfield neural networks, false data |
title | Penggunaan Sifat Pengingat Asosiatif Pada Jaringan Syaraf Tiruan Hopfield Diskret Untuk Pemulihan Data |
title_full | Penggunaan Sifat Pengingat Asosiatif Pada Jaringan Syaraf Tiruan Hopfield Diskret Untuk Pemulihan Data |
title_fullStr | Penggunaan Sifat Pengingat Asosiatif Pada Jaringan Syaraf Tiruan Hopfield Diskret Untuk Pemulihan Data |
title_full_unstemmed | Penggunaan Sifat Pengingat Asosiatif Pada Jaringan Syaraf Tiruan Hopfield Diskret Untuk Pemulihan Data |
title_short | Penggunaan Sifat Pengingat Asosiatif Pada Jaringan Syaraf Tiruan Hopfield Diskret Untuk Pemulihan Data |
title_sort | penggunaan sifat pengingat asosiatif pada jaringan syaraf tiruan hopfield diskret untuk pemulihan data |
topic | associative memories, Hopfield neural networks, false data |
url | http://dinarek.unsoed.ac.id/jurnal/index.php/dinarek/article/view/25 |
work_keys_str_mv | AT agungmubyarto penggunaansifatpengingatasosiatifpadajaringansyaraftiruanhopfielddiskretuntukpemulihandata |