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:
Online Access: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
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author Mamuda, Mamman
author_facet Mamuda, Mamman
author_sort Mamuda, Mamman
building USM Institutional Repository
collection Online Access
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
first_indexed 2025-11-15T17:32:43Z
format Thesis
id usm-38638
institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T17:32:43Z
publishDate 2017
recordtype eprints
repository_type Digital Repository
spelling usm-386382019-04-12T05:25:04Z http://eprints.usm.my/38638/ Forecasting Performance Of Cascade Forward Back Propagation Neural Network For Data With Outliers 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 NonPeerReviewed application/pdf en http://eprints.usm.my/38638/1/Forecasting_performance_of_cascade_forward_back_propagation_neural_network_for_data_with_outliers_by_Mamman_Mamuda..pdf Mamuda, Mamman (2017) Forecasting Performance Of Cascade Forward Back Propagation Neural Network For Data With Outliers. PhD thesis, Universiti Sains Malaysia.
spellingShingle QA1 Mathematics (General)
Mamuda, Mamman
Forecasting Performance Of Cascade Forward Back Propagation Neural Network For Data With Outliers
title 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_short 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
topic QA1 Mathematics (General)
url 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