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Pembuatan simulator jaringan saraf tiruan dengan algoritma supervised dan unsuprvised untuk tutorial dalam mata kuliah jaringan saraf tiruan

Main Author: SRI WAHYU NINGSIH
Terbitan: Universitas Kristen Petra , 2000
Subjects:
NEURAL NETWORKS (COMPUTER SCIENCE)
ARTIFICIAL INTELLIGENCE
Online Access: http://dewey.petra.ac.id/catalog/ft_detail.php?knokat=16296
ctrlnum ai:ispektra-16296
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>Pembuatan simulator jaringan saraf tiruan dengan algoritma supervised dan unsuprvised untuk tutorial dalam mata kuliah jaringan saraf tiruan</title><creator>SRI WAHYU NINGSIH</creator><publisher>Universitas Kristen Petra</publisher><date>2000</date><language>Indonesian</language><description>Nowadays, rising the students progresses in understanding their lesson are very important. Because with the understanding can make the students study more comfortable. So, for this purpose 1 make a simulator specially for Neural Network lesson. The main goal of this final exam is making a Neural Network Simulator which can be a tool for the studying process. There're two algorithms can be used for the simulator, Supervised Learning and Unsupervised Learning. In supervised used BPN method which need a target for compare it with the output, the compare will produce an error. While for unsupervised, SOM method's used. This method doesn't need a target. With the both of the algorithm can make aplication for pattern recognition. Testing of the system is the research about neural parameter influence to training process. And also about neural topology influence to the performance of the neural. The result that we can get after doing the functional test are the simulator can be used as we want, that is to recognize characters pattern or numbers pattern.</description><subject>NEURAL NETWORKS (COMPUTER SCIENCE)</subject><subject>ARTIFICIAL INTELLIGENCE</subject><identifier>http://dewey.petra.ac.id/catalog/ft_detail.php?knokat=16296</identifier><recordID>ai:ispektra-16296</recordID></dc>
author SRI WAHYU NINGSIH
title Pembuatan simulator jaringan saraf tiruan dengan algoritma supervised dan unsuprvised untuk tutorial dalam mata kuliah jaringan saraf tiruan
publisher Universitas Kristen Petra
publishDate 2000
topic NEURAL NETWORKS (COMPUTER SCIENCE)
ARTIFICIAL INTELLIGENCE
url http://dewey.petra.ac.id/catalog/ft_detail.php?knokat=16296
contents Nowadays, rising the students progresses in understanding their lesson are very important. Because with the understanding can make the students study more comfortable. So, for this purpose 1 make a simulator specially for Neural Network lesson. The main goal of this final exam is making a Neural Network Simulator which can be a tool for the studying process. There're two algorithms can be used for the simulator, Supervised Learning and Unsupervised Learning. In supervised used BPN method which need a target for compare it with the output, the compare will produce an error. While for unsupervised, SOM method's used. This method doesn't need a target. With the both of the algorithm can make aplication for pattern recognition. Testing of the system is the research about neural parameter influence to training process. And also about neural topology influence to the performance of the neural. The result that we can get after doing the functional test are the simulator can be used as we want, that is to recognize characters pattern or numbers pattern.
id IOS2786.ai:ispektra-16296
institution Universitas Kristen Petra Surabaya
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library_id 533
collection Katalog Perpustakaan Universitas Kristen Petra
repository_id 2786
subject_area Arsitektur
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city KOTA SURABAYA
province JAWA TIMUR
repoId IOS2786
first_indexed 2016-09-23T02:33:40Z
last_indexed 2017-02-25T15:34:25Z
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