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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[Yogyakarta] : Universitas Gadjah Mada
2006
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author | Perpustakaan UGM, i-lib |
author_facet | Perpustakaan UGM, i-lib |
author_sort | Perpustakaan UGM, i-lib |
collection | UGM |
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. |
first_indexed | 2024-03-13T18:59:01Z |
format | Article |
id | oai:generic.eprints.org:26002 |
institution | Universiti Gadjah Mada |
last_indexed | 2024-03-13T18:59:01Z |
publishDate | 2006 |
publisher | [Yogyakarta] : Universitas Gadjah Mada |
record_format | dspace |
spelling | oai:generic.eprints.org: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 |
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 |
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_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_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_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 |
topic | Jurnal i-lib UGM |
work_keys_str_mv | AT perpustakaanugmilib akaikesinformationcriterionaicuntukseleksioptimalpadamodelneuralnetworkakaikesinformationcriterionaicfortheselectionoptimalofmodelneuralnetwork |