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...
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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/ http://umpir.ump.edu.my/id/eprint/2612/1/AZRUL_HAFIZ_BIN_AWANG.PDF |
| Summary: | 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. |
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