An Algorithm for the Best Way Connection among Cell-Phone Towers Using Feedforward Neural Network
A new approach for mobile radio towers is presented in this paper. The use of feed-forward artificial neural network makes it possible to overcome some important disadvantages of previous random distribution of the towers. Our sample implementation is based upon the coordinates of a virtual cell pho...
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| Format: | Article |
| Language: | English |
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Mosul University
2009-09-01
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| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Subjects: | |
| Online Access: | https://csmj.mosuljournals.com/article_163833_b3dee4a22c3eb7bc5f709bc961f477fa.pdf |
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| _version_ | 1849727031341744128 |
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| author | Kais Ibraheem Thamir Jarjis Yahya Ibrahim |
| author_facet | Kais Ibraheem Thamir Jarjis Yahya Ibrahim |
| author_sort | Kais Ibraheem |
| collection | DOAJ |
| description | A new approach for mobile radio towers is presented in this paper. The use of feed-forward artificial neural network makes it possible to overcome some important disadvantages of previous random distribution of the towers.
Our sample implementation is based upon the coordinates of a virtual cell phone towers distributed in Mosul city. The results show that the proposed algorithm is sufficiently accurate for use in planning mobile towers distribution system. |
| format | Article |
| id | doaj-art-601882f2c63d4875a440a1b5e977cd0c |
| institution | DOAJ |
| issn | 1815-4816 2311-7990 |
| language | English |
| publishDate | 2009-09-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj-art-601882f2c63d4875a440a1b5e977cd0c2025-08-20T03:09:58ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902009-09-016319720910.33899/csmj.2009.163833163833An Algorithm for the Best Way Connection among Cell-Phone Towers Using Feedforward Neural NetworkKais Ibraheem0Thamir Jarjis1Yahya Ibrahim2College of Education University of Mosul, IraqCollege of Education University of Mosul, IraqCollege of Education University of Mosul, IraqA new approach for mobile radio towers is presented in this paper. The use of feed-forward artificial neural network makes it possible to overcome some important disadvantages of previous random distribution of the towers. Our sample implementation is based upon the coordinates of a virtual cell phone towers distributed in Mosul city. The results show that the proposed algorithm is sufficiently accurate for use in planning mobile towers distribution system.https://csmj.mosuljournals.com/article_163833_b3dee4a22c3eb7bc5f709bc961f477fa.pdfartificial neural networkmobile radio towers |
| spellingShingle | Kais Ibraheem Thamir Jarjis Yahya Ibrahim An Algorithm for the Best Way Connection among Cell-Phone Towers Using Feedforward Neural Network Al-Rafidain Journal of Computer Sciences and Mathematics artificial neural network mobile radio towers |
| title | An Algorithm for the Best Way Connection among Cell-Phone Towers Using Feedforward Neural Network |
| title_full | An Algorithm for the Best Way Connection among Cell-Phone Towers Using Feedforward Neural Network |
| title_fullStr | An Algorithm for the Best Way Connection among Cell-Phone Towers Using Feedforward Neural Network |
| title_full_unstemmed | An Algorithm for the Best Way Connection among Cell-Phone Towers Using Feedforward Neural Network |
| title_short | An Algorithm for the Best Way Connection among Cell-Phone Towers Using Feedforward Neural Network |
| title_sort | algorithm for the best way connection among cell phone towers using feedforward neural network |
| topic | artificial neural network mobile radio towers |
| url | https://csmj.mosuljournals.com/article_163833_b3dee4a22c3eb7bc5f709bc961f477fa.pdf |
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