The effect of activation functions in MLP performance based on different classification cases / Iza Sazanita Isa, Siti Noraini Sulaiman, Azizah Ahmad, Normasni Ad. Fauzi and Nurul Huda Ishak

Multilayer perceptron network (MLP) has been recognized as a powerful tool for many applications including classification. Selection of the activation functions in the multilayer perceptron (MLP) network plays an essential role on the network performance. This paper presents comparison study of diff...

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Main Authors:	Isa, Iza Sazanita, Sulaiman, Siti Noraini, Ahmad, Azizah, Ad. Fauzi, Normasni, Ishak, Nurul Huda
Format:	Article
Published:	Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) 2012
Online Access:	http://ir.uitm.edu.my/id/eprint/8857/

id	uitm-8857
recordtype	eprints
spelling	uitm-88572017-09-21T09:17:34Z http://ir.uitm.edu.my/id/eprint/8857/ The effect of activation functions in MLP performance based on different classification cases / Iza Sazanita Isa, Siti Noraini Sulaiman, Azizah Ahmad, Normasni Ad. Fauzi and Nurul Huda Ishak Isa, Iza Sazanita Sulaiman, Siti Noraini Ahmad, Azizah Ad. Fauzi, Normasni Ishak, Nurul Huda Multilayer perceptron network (MLP) has been recognized as a powerful tool for many applications including classification. Selection of the activation functions in the multilayer perceptron (MLP) network plays an essential role on the network performance. This paper presents comparison study of different MLP activation function; for three different classification cases which are breast cancer, thyroid disease and weather classification. The activation functions under investigation are sigmoid and hyperbolic tangent. In this study, the MLP network was trained and tested to investigate the ability of network to classify the breast cancer between benign and malignant cell, thyroid disease are classified into normal, hyper or hypo thyroid while the weather conditions are classified into four types; rain, cloudy, dry day and storm. Levenberg-Marquardt algorithm is used to train the MLP network since it is the fastest training and ensure the best converges towards a minimum error. Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) 2012 Article NonPeerReviewed Isa, Iza Sazanita and Sulaiman, Siti Noraini and Ahmad, Azizah and Ad. Fauzi, Normasni and Ishak, Nurul Huda (2012) The effect of activation functions in MLP performance based on different classification cases / Iza Sazanita Isa, Siti Noraini Sulaiman, Azizah Ahmad, Normasni Ad. Fauzi and Nurul Huda Ishak. Esteem Academic Journal, 8 (1). pp. 64-74. ISSN 1675-7939
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
description	Multilayer perceptron network (MLP) has been recognized as a powerful tool for many applications including classification. Selection of the activation functions in the multilayer perceptron (MLP) network plays an essential role on the network performance. This paper presents comparison study of different MLP activation function; for three different classification cases which are breast cancer, thyroid disease and weather classification. The activation functions under investigation are sigmoid and hyperbolic tangent. In this study, the MLP network was trained and tested to investigate the ability of network to classify the breast cancer between benign and malignant cell, thyroid disease are classified into normal, hyper or hypo thyroid while the weather conditions are classified into four types; rain, cloudy, dry day and storm. Levenberg-Marquardt algorithm is used to train the MLP network since it is the fastest training and ensure the best converges towards a minimum error.
format	Article
author	Isa, Iza Sazanita Sulaiman, Siti Noraini Ahmad, Azizah Ad. Fauzi, Normasni Ishak, Nurul Huda
spellingShingle	Isa, Iza Sazanita Sulaiman, Siti Noraini Ahmad, Azizah Ad. Fauzi, Normasni Ishak, Nurul Huda The effect of activation functions in MLP performance based on different classification cases / Iza Sazanita Isa, Siti Noraini Sulaiman, Azizah Ahmad, Normasni Ad. Fauzi and Nurul Huda Ishak
author_facet	Isa, Iza Sazanita Sulaiman, Siti Noraini Ahmad, Azizah Ad. Fauzi, Normasni Ishak, Nurul Huda
author_sort	Isa, Iza Sazanita
title	The effect of activation functions in MLP performance based on different classification cases / Iza Sazanita Isa, Siti Noraini Sulaiman, Azizah Ahmad, Normasni Ad. Fauzi and Nurul Huda Ishak
title_short	The effect of activation functions in MLP performance based on different classification cases / Iza Sazanita Isa, Siti Noraini Sulaiman, Azizah Ahmad, Normasni Ad. Fauzi and Nurul Huda Ishak
title_full	The effect of activation functions in MLP performance based on different classification cases / Iza Sazanita Isa, Siti Noraini Sulaiman, Azizah Ahmad, Normasni Ad. Fauzi and Nurul Huda Ishak
title_fullStr	The effect of activation functions in MLP performance based on different classification cases / Iza Sazanita Isa, Siti Noraini Sulaiman, Azizah Ahmad, Normasni Ad. Fauzi and Nurul Huda Ishak
title_full_unstemmed	The effect of activation functions in MLP performance based on different classification cases / Iza Sazanita Isa, Siti Noraini Sulaiman, Azizah Ahmad, Normasni Ad. Fauzi and Nurul Huda Ishak
title_sort	effect of activation functions in mlp performance based on different classification cases / iza sazanita isa, siti noraini sulaiman, azizah ahmad, normasni ad. fauzi and nurul huda ishak
publisher	Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA)
publishDate	2012
url	http://ir.uitm.edu.my/id/eprint/8857/
first_indexed	2023-09-18T22:47:33Z
last_indexed	2023-09-18T22:47:33Z
_version_	1777417325846200320

The effect of activation functions in MLP performance based on different classification cases / Iza Sazanita Isa, Siti Noraini Sulaiman, Azizah Ahmad, Normasni Ad. Fauzi and Nurul Huda Ishak

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