Sejarah, Penerapan, dan Analisis Resiko dari Neural Network: Sebuah Tinjauan Pustaka

Main Authors: Cristina, Cristina; Universitas Universal, Kurniawan, Ade; Universitas Universal
Format: Article info application/pdf Journal
Bahasa: eng
Terbitan: Politeknik Harapan Bersama , 2018
Subjects:
Online Access: http://ejournal.poltektegal.ac.id/index.php/informatika/article/view/890
http://ejournal.poltektegal.ac.id/index.php/informatika/article/view/890/707
http://ejournal.poltektegal.ac.id/index.php/informatika/article/downloadSuppFile/890/385
ctrlnum article-890
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">Sejarah, Penerapan, dan Analisis Resiko dari Neural Network: Sebuah Tinjauan Pustaka</title><creator>Cristina, Cristina; Universitas Universal</creator><creator>Kurniawan, Ade; Universitas Universal</creator><subject lang="en-US">Teknik Informatika</subject><description lang="en-US">A neural network is a form of artificial intelligence that has the ability to learn, grow, and adapt in a dynamic environment. Neural network began since 1890 because a great American psychologist named William James created the book "Principles of Psycology". James was the first one publish a number of facts related to the structure and function of the brain. The history of neural network development is divided into 4 epochs, the Camelot era, the Depression, the Renaissance, and the Neoconnectiosm era. Neural networks used today are not 100 percent accurate. However, neural networks are still used because of better performance than alternative computing models. The use of neural network consists of pattern recognition, signal analysis, robotics, and expert systems. For risk analysis of the neural network, it is first performed using hazards and operability studies (HAZOPS). Determining the neural network requirements in a good way will help in determining its contribution to system hazards and validating the control or mitigation of any hazards. After completion of the first stage at HAZOPS and the second stage determines the requirements, the next stage is designing. Neural network underwent repeated design-train-test development. At the design stage, the hazard analysis should consider the design aspects of the development, which include neural network architecture, size, intended use, and so on. It will be continued at the implementation stage, test phase, installation and inspection phase, operation phase, and ends at the maintenance stage.</description><publisher lang="en-US">Politeknik Harapan Bersama</publisher><contributor lang="en-US"/><date>2018-05-13</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Other:</type><type>File:application/pdf</type><identifier>http://ejournal.poltektegal.ac.id/index.php/informatika/article/view/890</identifier><identifier>10.30591/jpit.v3i2.890</identifier><source lang="en-US">Jurnal Informatika: Jurnal Pengembangan IT; Vol 3, No 2 (2018): JPIT, Mei 2018; 259-270</source><source>2548-9356</source><source>2477-5126</source><source>10.30591/jpit.v3i2</source><language>eng</language><relation>http://ejournal.poltektegal.ac.id/index.php/informatika/article/view/890/707</relation><relation>http://ejournal.poltektegal.ac.id/index.php/informatika/article/downloadSuppFile/890/385</relation><relation>10.30591/jpit.v3i2.890.g707</relation><rights lang="0">Copyright (c) 2018 JURNAL INFORMATIKA : Jurnal Pengembangan IT</rights><rights lang="0">http://creativecommons.org/licenses/by/4.0</rights><recordID>article-890</recordID></dc>
language eng
format Journal:Article
Journal
Other:info:eu-repo/semantics/publishedVersion
Other
Other:
File:application/pdf
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Journal:Journal
author Cristina, Cristina; Universitas Universal
Kurniawan, Ade; Universitas Universal
title Sejarah, Penerapan, dan Analisis Resiko dari Neural Network: Sebuah Tinjauan Pustaka
publisher Politeknik Harapan Bersama
publishDate 2018
topic Teknik Informatika
url http://ejournal.poltektegal.ac.id/index.php/informatika/article/view/890
http://ejournal.poltektegal.ac.id/index.php/informatika/article/view/890/707
http://ejournal.poltektegal.ac.id/index.php/informatika/article/downloadSuppFile/890/385
contents A neural network is a form of artificial intelligence that has the ability to learn, grow, and adapt in a dynamic environment. Neural network began since 1890 because a great American psychologist named William James created the book "Principles of Psycology". James was the first one publish a number of facts related to the structure and function of the brain. The history of neural network development is divided into 4 epochs, the Camelot era, the Depression, the Renaissance, and the Neoconnectiosm era. Neural networks used today are not 100 percent accurate. However, neural networks are still used because of better performance than alternative computing models. The use of neural network consists of pattern recognition, signal analysis, robotics, and expert systems. For risk analysis of the neural network, it is first performed using hazards and operability studies (HAZOPS). Determining the neural network requirements in a good way will help in determining its contribution to system hazards and validating the control or mitigation of any hazards. After completion of the first stage at HAZOPS and the second stage determines the requirements, the next stage is designing. Neural network underwent repeated design-train-test development. At the design stage, the hazard analysis should consider the design aspects of the development, which include neural network architecture, size, intended use, and so on. It will be continued at the implementation stage, test phase, installation and inspection phase, operation phase, and ends at the maintenance stage.
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subject_area Teknik Informatika
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