Akaike's Information Criterion (AIC) Untuk Seleksi Optimal Pada Model Neural Network = Akaike's Information Criterion ( AIC) For The Selection Optimal Of Model Neural Network

Akaike's Information Criterion (AIC) Untuk Seleksi Optimal Pada Model Neural Network = Akaike's Information Criterion ( AIC) For The Selection Optimal Of Model Neural Network

ABSTRACT During the last twenty years, Akaike's Information Criterion (AIC) has had a fundamental impact in statistical model evaluation problems. This paper studies the general theory of the Akaike's Information Criterion (AIC) to determine the optimal architecture model of neural network...

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Main Author: Perpustakaan UGM, i-lib
Format: Article NonPeerReviewed
Published: [Yogyakarta] : Universitas Gadjah Mada 2006
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Jurnal i-lib UGM
Online Access:https://repository.ugm.ac.id/26002/
http://i-lib.ugm.ac.id/jurnal/download.php?dataId=9011
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spelling id-ugm-repo.260022014-06-18T00:25:28Z https://repository.ugm.ac.id/26002/ Akaike's Information Criterion (AIC) Untuk Seleksi Optimal Pada Model Neural Network = Akaike's Information Criterion ( AIC) For The Selection Optimal Of Model Neural Network Perpustakaan UGM, i-lib Jurnal i-lib UGM ABSTRACT During the last twenty years, Akaike's Information Criterion (AIC) has had a fundamental impact in statistical model evaluation problems. This paper studies the general theory of the Akaike's Information Criterion (AIC) to determine the optimal architecture model of neural network. Neural network have been used to resolve a variety of classification problems. The computational properties of many of the possible network designs have been analyzed, but the decision as to which of several competing network architecture is "best" for a given problem remains subjective. A relationship between optimal neural net-work and model statistic identification is described. A derivative of Akaike's Information Criterion (AIC) is given. Key words : neural network, Multi-Layered Perceptions, Maximum Likelihood, Kullback-Leibler Information, Entropy, Akaike's Information Criterion. [Yogyakarta] : Universitas Gadjah Mada 2006 Article NonPeerReviewed Perpustakaan UGM, i-lib (2006) Akaike's Information Criterion (AIC) Untuk Seleksi Optimal Pada Model Neural Network = Akaike's Information Criterion ( AIC) For The Selection Optimal Of Model Neural Network. Jurnal i-lib UGM. http://i-lib.ugm.ac.id/jurnal/download.php?dataId=9011
institution Universitas Gadjah Mada
building UGM Library
country Indonesia
collection Repository Civitas UGM
topic Jurnal i-lib UGM
spellingShingle Jurnal i-lib UGM
Perpustakaan UGM, i-lib
Akaike's Information Criterion (AIC) Untuk Seleksi Optimal Pada Model Neural Network = Akaike's Information Criterion ( AIC) For The Selection Optimal Of Model Neural Network
description ABSTRACT During the last twenty years, Akaike's Information Criterion (AIC) has had a fundamental impact in statistical model evaluation problems. This paper studies the general theory of the Akaike's Information Criterion (AIC) to determine the optimal architecture model of neural network. Neural network have been used to resolve a variety of classification problems. The computational properties of many of the possible network designs have been analyzed, but the decision as to which of several competing network architecture is "best" for a given problem remains subjective. A relationship between optimal neural net-work and model statistic identification is described. A derivative of Akaike's Information Criterion (AIC) is given. Key words : neural network, Multi-Layered Perceptions, Maximum Likelihood, Kullback-Leibler Information, Entropy, Akaike's Information Criterion.
format Article
NonPeerReviewed
author Perpustakaan UGM, i-lib
author_facet Perpustakaan UGM, i-lib
author_sort Perpustakaan UGM, i-lib
title Akaike's Information Criterion (AIC) Untuk Seleksi Optimal Pada Model Neural Network = Akaike's Information Criterion ( AIC) For The Selection Optimal Of Model Neural Network
title_short Akaike's Information Criterion (AIC) Untuk Seleksi Optimal Pada Model Neural Network = Akaike's Information Criterion ( AIC) For The Selection Optimal Of Model Neural Network
title_full Akaike's Information Criterion (AIC) Untuk Seleksi Optimal Pada Model Neural Network = Akaike's Information Criterion ( AIC) For The Selection Optimal Of Model Neural Network
title_fullStr Akaike's Information Criterion (AIC) Untuk Seleksi Optimal Pada Model Neural Network = Akaike's Information Criterion ( AIC) For The Selection Optimal Of Model Neural Network
title_full_unstemmed Akaike's Information Criterion (AIC) Untuk Seleksi Optimal Pada Model Neural Network = Akaike's Information Criterion ( AIC) For The Selection Optimal Of Model Neural Network
title_sort akaike's information criterion (aic) untuk seleksi optimal pada model neural network = akaike's information criterion ( aic) for the selection optimal of model neural network
publisher [Yogyakarta] : Universitas Gadjah Mada
publishDate 2006
url https://repository.ugm.ac.id/26002/
http://i-lib.ugm.ac.id/jurnal/download.php?dataId=9011
_version_ 1681218691559063552

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