Letter recognition using backpropagation algorithm
Letter Recognition using Backpropagation Algorithm is an application to analyze the letter data and the performance of Backpropagation Neural Network in letter recognition. The objective of tbi project is to implement Backpropagation Neural Network for letter recognition task. This application wi...
| Main Author: | |
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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/2612/1/AZRUL_HAFIZ_BIN_AWANG.PDF |
| _version_ | 1796989592513019904 |
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| author | Azrul Hafiz, Awang |
| author_facet | Azrul Hafiz, Awang |
| author_sort | Azrul Hafiz, Awang |
| collection | UMP |
| description | Letter Recognition using Backpropagation Algorithm is an application to
analyze the letter data and the performance of Backpropagation Neural Network in
letter recognition. The objective of tbi project is to implement Backpropagation
Neural Network for letter recognition task. This application will be developed using
C++ Builder. Letter Recognition using Backpropagation Algorithm will make
analysis and show the accuracy percentage, errors and the result of the letter training.
The expected output will be compared with the actual output. Software Development
Life Cycle (SDLC) methodology will be used in this project development to make
sure all the development process is running smoothly. |
| first_indexed | 2024-03-06T11:39:22Z |
| format | Undergraduates Project Papers |
| id | UMPir2612 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:39:22Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | UMPir26122015-03-03T07:57:34Z http://umpir.ump.edu.my/id/eprint/2612/ Letter recognition using backpropagation algorithm Azrul Hafiz, Awang QA Mathematics Letter Recognition using Backpropagation Algorithm is an application to analyze the letter data and the performance of Backpropagation Neural Network in letter recognition. The objective of tbi project is to implement Backpropagation Neural Network for letter recognition task. This application will be developed using C++ Builder. Letter Recognition using Backpropagation Algorithm will make analysis and show the accuracy percentage, errors and the result of the letter training. The expected output will be compared with the actual output. Software Development Life Cycle (SDLC) methodology will be used in this project development to make sure all the development process is running smoothly. 2010-05 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2612/1/AZRUL_HAFIZ_BIN_AWANG.PDF Azrul Hafiz, Awang (2010) Letter recognition using backpropagation algorithm. Faculty of Computer Systems & Software Engineering, University Malaysia Pahang. |
| spellingShingle | QA Mathematics Azrul Hafiz, Awang Letter recognition using backpropagation algorithm |
| title | Letter recognition using backpropagation algorithm |
| title_full | Letter recognition using backpropagation algorithm |
| title_fullStr | Letter recognition using backpropagation algorithm |
| title_full_unstemmed | Letter recognition using backpropagation algorithm |
| title_short | Letter recognition using backpropagation algorithm |
| title_sort | letter recognition using backpropagation algorithm |
| topic | QA Mathematics |
| url | http://umpir.ump.edu.my/id/eprint/2612/1/AZRUL_HAFIZ_BIN_AWANG.PDF |
| work_keys_str_mv | AT azrulhafizawang letterrecognitionusingbackpropagationalgorithm |