Training feed forward neural network with modified Fletcher-Reeves method

Training feed forward neural network with modified Fletcher-Reeves method

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In this research, a modified Fletcher-Reeves (FR) conjugate gradient algorithm for training large scale feed forward neural network (FFNN) is presented. Under mild conditions, we establish that the proposed method satisfies the sufficient descent condition, and it is globally convergent under wolfe...

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Bibliographic Details
Main Authors: Yoksal A. Laylani, Khalil K. Abbo, Hisham M. Khudhur
Format: Article
Language:English
Published: Journal of Multidisciplinary Modeling and Optimization 2018-08-01
Series:Journal of Multidisciplinary Modeling and Optimization
Subjects:
Conjugate gradient
Neural network
Global optimization
Online Access:http://dergipark.org.tr/jmmo/issue/38716/392124?publisher=http-w3-sdu-edu-tr-personel-00606-prof-dr-ahmet-sahiner
id doaj-7bf40f989afc47d99dc12bac3cd4d103
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spelling doaj-7bf40f989afc47d99dc12bac3cd4d1032020-11-25T01:32:33ZengJournal of Multidisciplinary Modeling and OptimizationJournal of Multidisciplinary Modeling and Optimization2645-923X2018-08-011114221135Training feed forward neural network with modified Fletcher-Reeves methodYoksal A. LaylaniKhalil K. AbboHisham M. KhudhurIn this research, a modified Fletcher-Reeves (FR) conjugate gradient algorithm for training large scale feed forward neural network (FFNN) is presented. Under mild conditions, we establish that the proposed method satisfies the sufficient descent condition, and it is globally convergent under wolfe line search condition. The evidence which is provided by experimental results showed that our proposed method is preferable and superior to the classic methods.http://dergipark.org.tr/jmmo/issue/38716/392124?publisher=http-w3-sdu-edu-tr-personel-00606-prof-dr-ahmet-sahinerConjugate gradientNeural networkGlobal optimization
collection DOAJ
language English
format Article
sources DOAJ
author Yoksal A. Laylani
Khalil K. Abbo
Hisham M. Khudhur
spellingShingle Yoksal A. Laylani
Khalil K. Abbo
Hisham M. Khudhur
Training feed forward neural network with modified Fletcher-Reeves method
Journal of Multidisciplinary Modeling and Optimization
Conjugate gradient
Neural network
Global optimization
author_facet Yoksal A. Laylani
Khalil K. Abbo
Hisham M. Khudhur
author_sort Yoksal A. Laylani
title Training feed forward neural network with modified Fletcher-Reeves method
title_short Training feed forward neural network with modified Fletcher-Reeves method
title_full Training feed forward neural network with modified Fletcher-Reeves method
title_fullStr Training feed forward neural network with modified Fletcher-Reeves method
title_full_unstemmed Training feed forward neural network with modified Fletcher-Reeves method
title_sort training feed forward neural network with modified fletcher-reeves method
publisher Journal of Multidisciplinary Modeling and Optimization
series Journal of Multidisciplinary Modeling and Optimization
issn 2645-923X
publishDate 2018-08-01
description In this research, a modified Fletcher-Reeves (FR) conjugate gradient algorithm for training large scale feed forward neural network (FFNN) is presented. Under mild conditions, we establish that the proposed method satisfies the sufficient descent condition, and it is globally convergent under wolfe line search condition. The evidence which is provided by experimental results showed that our proposed method is preferable and superior to the classic methods.
topic Conjugate gradient
Neural network
Global optimization
url http://dergipark.org.tr/jmmo/issue/38716/392124?publisher=http-w3-sdu-edu-tr-personel-00606-prof-dr-ahmet-sahiner
work_keys_str_mv AT yoksalalaylani trainingfeedforwardneuralnetworkwithmodifiedfletcherreevesmethod
AT khalilkabbo trainingfeedforwardneuralnetworkwithmodifiedfletcherreevesmethod
AT hishammkhudhur trainingfeedforwardneuralnetworkwithmodifiedfletcherreevesmethod
_version_ 1725081239505862656

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