EMPIRICAL STUDY TO COMPARE BACKPROPAGATION LEARNING OPTIMIZATION METHODS FOR POLYCHOTOMOUS DATA

Bibliographic Details
Main Authors: Rezeki, Sri, Subanar, Subanar, Guritno, Suryo, Suhartono, Suhartono
Format: Conference or Workshop Item
Language:English
Published: 2005
Subjects:
Online Access:https://repository.ugm.ac.id/32978/1/22.pdf
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author Rezeki, Sri
Subanar, Subanar
Guritno, Suryo
Suhartono, Suhartono
author_facet Rezeki, Sri
Subanar, Subanar
Guritno, Suryo
Suhartono, Suhartono
author_sort Rezeki, Sri
collection UGM
first_indexed 2024-03-05T23:19:56Z
format Conference or Workshop Item
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institution Universiti Gadjah Mada
language English
last_indexed 2024-03-13T19:12:23Z
publishDate 2005
record_format dspace
spelling oai:generic.eprints.org:329782014-03-10T04:22:44Z https://repository.ugm.ac.id/32978/ EMPIRICAL STUDY TO COMPARE BACKPROPAGATION LEARNING OPTIMIZATION METHODS FOR POLYCHOTOMOUS DATA Rezeki, Sri Subanar, Subanar Guritno, Suryo Suhartono, Suhartono Makalah prosiding 2005 Conference or Workshop Item PeerReviewed application/pdf en https://repository.ugm.ac.id/32978/1/22.pdf Rezeki, Sri and Subanar, Subanar and Guritno, Suryo and Suhartono, Suhartono (2005) EMPIRICAL STUDY TO COMPARE BACKPROPAGATION LEARNING OPTIMIZATION METHODS FOR POLYCHOTOMOUS DATA. In: IRCMSA, 2005, Sumatera Indonesia. (In Press)
spellingShingle Makalah prosiding
Rezeki, Sri
Subanar, Subanar
Guritno, Suryo
Suhartono, Suhartono
EMPIRICAL STUDY TO COMPARE BACKPROPAGATION LEARNING OPTIMIZATION METHODS FOR POLYCHOTOMOUS DATA
title EMPIRICAL STUDY TO COMPARE BACKPROPAGATION LEARNING OPTIMIZATION METHODS FOR POLYCHOTOMOUS DATA
title_full EMPIRICAL STUDY TO COMPARE BACKPROPAGATION LEARNING OPTIMIZATION METHODS FOR POLYCHOTOMOUS DATA
title_fullStr EMPIRICAL STUDY TO COMPARE BACKPROPAGATION LEARNING OPTIMIZATION METHODS FOR POLYCHOTOMOUS DATA
title_full_unstemmed EMPIRICAL STUDY TO COMPARE BACKPROPAGATION LEARNING OPTIMIZATION METHODS FOR POLYCHOTOMOUS DATA
title_short EMPIRICAL STUDY TO COMPARE BACKPROPAGATION LEARNING OPTIMIZATION METHODS FOR POLYCHOTOMOUS DATA
title_sort empirical study to compare backpropagation learning optimization methods for polychotomous data
topic Makalah prosiding
url https://repository.ugm.ac.id/32978/1/22.pdf
work_keys_str_mv AT rezekisri empiricalstudytocomparebackpropagationlearningoptimizationmethodsforpolychotomousdata
AT subanarsubanar empiricalstudytocomparebackpropagationlearningoptimizationmethodsforpolychotomousdata
AT guritnosuryo empiricalstudytocomparebackpropagationlearningoptimizationmethodsforpolychotomousdata
AT suhartonosuhartono empiricalstudytocomparebackpropagationlearningoptimizationmethodsforpolychotomousdata