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dc.contributor.authorNahdh S. M. Al-Saif, Ameen Sh. Ameen-
dc.contributor.authorGhaith Fadhil Abbas-
dc.date.accessioned2022-10-20T06:59:48Z-
dc.date.available2022-10-20T06:59:48Z-
dc.date.issued2018-
dc.identifier.issn2415 – 1726-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3699-
dc.description.abstractThe aim of this paper is present a new numerical method for solvingThree Dimensions Volterra Integral Equations using artificial neural network by design multilayer feed forward Neural Network. A multi- layers design in our proposed method consist of a hidden layer having seven hidden units. and one linear output unit. Linear Transfer function used as each unit and using LevenbergMarquardtalgorithmtraining. Moreover, examples on three- dimensional Volterra integral equations carried out to illustrate the accuracy and the efficiency of the presented method. In addition, some comparisons among proposed method and Shifted Chebyshev Polynomials method and Reduced Differential Transform Method are presented.en_US
dc.publisherTikrit Journal of Pure Scienceen_US
dc.subjectThree - dimensional Volterra Integral Equationsen_US
dc.subjectArtificial Neural Networen_US
dc.subjectLinear Transfer Functionen_US
dc.subjectLevenberg Marquardt Algorithmen_US
dc.titleSolving Three Dimensions Volterra Integral Equations (TDVIE) via a Neural Networken_US
dc.typeArticleen_US
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