Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Author: Azrul Hafiz, Awang
Format: Undergraduates Project Papers
Language:English
Published: 2010
Subjects:
QA Mathematics
Online Access:http://umpir.ump.edu.my/id/eprint/2612/1/AZRUL_HAFIZ_BIN_AWANG.PDF
http://umpir.ump.edu.my/id/eprint/2612/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.2612
record_format eprints
spelling my.ump.umpir.26122015-03-03T07:57:34Z 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.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Azrul Hafiz, Awang
Letter recognition using backpropagation algorithm
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.
format Undergraduates Project Papers
author Azrul Hafiz, Awang
author_facet Azrul Hafiz, Awang
author_sort Azrul Hafiz, Awang
title Letter recognition using backpropagation algorithm
title_short 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_sort letter recognition using backpropagation algorithm
publishDate 2010
url http://umpir.ump.edu.my/id/eprint/2612/1/AZRUL_HAFIZ_BIN_AWANG.PDF
http://umpir.ump.edu.my/id/eprint/2612/
_version_ 1643664661354119168
score 13.160551

Similar Items