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http://localhost:8080/xmlui/handle/123456789/6243| Title: | DESIGN FEED FORWARD NEURAL NETWORK FOR SOLVING SINGULARLY PERTURBED INTEGRO-DIFFREENTIAL AND INTEGRAL EQUATION |
| Authors: | EMAN ALI HESSAIN, NAHDH.S.M.AL-SAIF |
| Keywords: | Singularly perturbed problems Volterra integral equations Volterra integro-differential equations Feed forward neural network Levenbrg-Marquardt training |
| Issue Date: | 2013 |
| 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. |
| URI: | http://localhost:8080/xmlui/handle/123456789/6243 |
| ISSN: | 0973-9424 |
| 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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