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Automatic finite element mesh generation using artificial neural networks - by Nahla Emile Najjar
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| dc.contributor.author | Najjar, Nahla Emile |
| dc.date.accessioned | 2012-06-13T06:42:18Z |
| dc.date.available | 2012-06-13T06:42:18Z |
| dc.date.issued | 1994 |
| dc.identifier.uri | http://hdl.handle.net/10938/4927 |
| dc.description | Thesis (M.E.)--American University of Beirut. Department of Electrical and Computer Engineering, 1994.;"Advisor: Dr. Riad Chedid Assistant Professor of Electrical Engineering - Members of Committee: Dr. Sami Karaki Assistant Professor, Electrical Engin |
| dc.description | Bibliography: leaves 97-98. |
| dc.description.abstract | To ensure the accuracy of the finite element solution, it is desirable to increase the mesh density in regions where rapid variations in the variables are expected and to decrease it elsewhere. It is important to automate mesh generation because it is t |
| dc.format.extent | xiv, 100 leaves : ill. cm. |
| dc.language.iso | eng |
| dc.relation.ispartof | Theses, Dissertations, and Projects |
| dc.subject.classification | ET:003588 AUBNO |
| dc.subject.lcsh | Finite element method. |
| dc.subject.lcsh | Numerical grid generation (Numerical analysis). |
| dc.subject.lcsh | Neural networks (Computer science). |
| dc.title | Automatic finite element mesh generation using artificial neural networks - by Nahla Emile Najjar |
| dc.type | Thesis |
| dc.contributor.department | American University of Beirut. Faculty of Engineering and Architecture. Department of Electrical and Computer Engineering |
