Forecasting Performance Of Cascade Forward Back Propagation Neural Network For Data With Outliers

Dalam kajian ini, satu rangkaian neural berasaskan pengelompokan telah dibangunkan untuk menyiasat dan membandingkan prestasinya dengan teknik-teknik pe- modelan lain bagi kes penyimpangan andaian berkaitan hubungan homoskedastik dalam set data In this research, a clustering based neural network...

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Main Author:	Mamuda, Mamman
Format:	Thesis
Language:	English
Published:	2017
Subjects:	QA1 Mathematics (General)
Online Access:	http://eprints.usm.my/38638/1/Forecasting_performance_of_cascade_forward_back_propagation_neural_network_for_data_with_outliers_by_Mamman_Mamuda..pdf
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id	my-usm-ep.38638
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spelling	my-usm-ep.386382019-04-12T05:25:04Z Forecasting Performance Of Cascade Forward Back Propagation Neural Network For Data With Outliers 2017-03 Mamuda, Mamman QA1 Mathematics (General) Dalam kajian ini, satu rangkaian neural berasaskan pengelompokan telah dibangunkan untuk menyiasat dan membandingkan prestasinya dengan teknik-teknik pe- modelan lain bagi kes penyimpangan andaian berkaitan hubungan homoskedastik dalam set data In this research, a clustering based neural network was developed with the aim of investigating and comparing its performance with the performance of other model techniques in the case of deviation from the assumption of homoscedastic relation- ship in dataset 2017-03 Thesis http://eprints.usm.my/38638/ http://eprints.usm.my/38638/1/Forecasting_performance_of_cascade_forward_back_propagation_neural_network_for_data_with_outliers_by_Mamman_Mamuda..pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Matematik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA1 Mathematics (General)
spellingShingle	QA1 Mathematics (General) Mamuda, Mamman Forecasting Performance Of Cascade Forward Back Propagation Neural Network For Data With Outliers
description	Dalam kajian ini, satu rangkaian neural berasaskan pengelompokan telah dibangunkan untuk menyiasat dan membandingkan prestasinya dengan teknik-teknik pe- modelan lain bagi kes penyimpangan andaian berkaitan hubungan homoskedastik dalam set data In this research, a clustering based neural network was developed with the aim of investigating and comparing its performance with the performance of other model techniques in the case of deviation from the assumption of homoscedastic relation- ship in dataset
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Mamuda, Mamman
author_facet	Mamuda, Mamman
author_sort	Mamuda, Mamman
title	Forecasting Performance Of Cascade Forward Back Propagation Neural Network For Data With Outliers
title_short	Forecasting Performance Of Cascade Forward Back Propagation Neural Network For Data With Outliers
title_full	Forecasting Performance Of Cascade Forward Back Propagation Neural Network For Data With Outliers
title_fullStr	Forecasting Performance Of Cascade Forward Back Propagation Neural Network For Data With Outliers
title_full_unstemmed	Forecasting Performance Of Cascade Forward Back Propagation Neural Network For Data With Outliers
title_sort	forecasting performance of cascade forward back propagation neural network for data with outliers
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Matematik
publishDate	2017
url	http://eprints.usm.my/38638/1/Forecasting_performance_of_cascade_forward_back_propagation_neural_network_for_data_with_outliers_by_Mamman_Mamuda..pdf
_version_	1747820695885185024

Forecasting Performance Of Cascade Forward Back Propagation Neural Network For Data With Outliers

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