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http://localhost:8080/xmlui/handle/123456789/6243Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | EMAN ALI HESSAIN, NAHDH.S.M.AL-SAIF | - |
| dc.date.accessioned | 2022-10-24T19:13:22Z | - |
| dc.date.available | 2022-10-24T19:13:22Z | - |
| dc.date.issued | 2013 | - |
| dc.identifier.issn | 0973-9424 | - |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/6243 | - |
| dc.description.abstract | Recently, there has been an increasing interest in the study of singular and perturbed systems. In this paper design fast feed forward neural network to present a method to solve singularly perturbed integro-differential and integral equations. Using a multi-layer having one hidden layer with 5 hidden units(neurons) and one linear output unit the sigmoid activation of each unit is radial basis function and Levenberg - Marquardt (trainlm) training algorithm. Finally The results of numerical experiments are compared with the exact solution in illustrative examples to confirm the accuracy and efficiency of the presented scheme. | en_US |
| dc.subject | Singularly perturbed problems | en_US |
| dc.subject | Volterra integral equations | en_US |
| dc.subject | Volterra integro-differential equations | en_US |
| dc.subject | Feed forward neural network | en_US |
| dc.subject | Levenbrg-Marquardt training | en_US |
| dc.title | DESIGN FEED FORWARD NEURAL NETWORK FOR SOLVING SINGULARLY PERTURBED INTEGRO-DIFFREENTIAL AND INTEGRAL EQUATION | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | قسم الرياضيات التطبيقية | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| DESIGN FEED FORWARD NEURAL NETWORK FOR SOLVING.pdf | 171.49 kB | Adobe PDF | View/Open |
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