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

Mamuda, Mamman (2017) Forecasting Performance Of Cascade Forward Back Propagation Neural Network For Data With Outliers. PhD thesis, Universiti Sains Malaysia.

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    Abstract

    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

    Item Type: Thesis (PhD)
    Subjects: Q Science > QA Mathematics > QA1 Mathematics (General)
    Divisions: Pusat Pengajian Sains Matematik (School of Mathematical Sciences) > Thesis
    Depositing User: Mr Erwan Roslan
    Date Deposited: 01 Feb 2018 14:54
    Last Modified: 17 May 2018 11:09
    URI: http://eprints.usm.my/id/eprint/38638

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