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Multimedia approach to understand artificial neural network/ Mohd Azmi Shafie

This thesis to presents a new approach of understanding artificial neural network (ANN). The approach employed existing multimedia software that are now available which is effective for new learner to understand ANN. The nature of multimedia includes animation, sound, colour and user interaction. It...

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Main Author: Shafie, Mohd Azmi
Format: Thesis
Language:English
Published: 1999
Online Access:https://ir.uitm.edu.my/id/eprint/100066/1/100066.pdf
https://ir.uitm.edu.my/id/eprint/100066/
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id my.uitm.ir.100066
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spelling my.uitm.ir.1000662024-08-13T09:16:50Z https://ir.uitm.edu.my/id/eprint/100066/ Multimedia approach to understand artificial neural network/ Mohd Azmi Shafie Shafie, Mohd Azmi This thesis to presents a new approach of understanding artificial neural network (ANN). The approach employed existing multimedia software that are now available which is effective for new learner to understand ANN. The nature of multimedia includes animation, sound, colour and user interaction. It is much more enjoyable than traditional forms of presenting information of ANN. The users are allowed to view the contents of selected subject and to control what and when the elements are delivered. An existing multimedia authoring tool such as "Computer Integrated Learning System (COMIL)" is chosen to creates this courseware. A simple programming is applied which easy to import file from picture file like bmp, tif, jpg, pcx, tga and gif animation and also easy to import file video and sound like avi for video and wav or midi for sound. It was found that based on this concept the learner will understand and remember the message faster and better 1999 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/100066/1/100066.pdf Multimedia approach to understand artificial neural network/ Mohd Azmi Shafie. (1999) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/100066.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description This thesis to presents a new approach of understanding artificial neural network (ANN). The approach employed existing multimedia software that are now available which is effective for new learner to understand ANN. The nature of multimedia includes animation, sound, colour and user interaction. It is much more enjoyable than traditional forms of presenting information of ANN. The users are allowed to view the contents of selected subject and to control what and when the elements are delivered. An existing multimedia authoring tool such as "Computer Integrated Learning System (COMIL)" is chosen to creates this courseware. A simple programming is applied which easy to import file from picture file like bmp, tif, jpg, pcx, tga and gif animation and also easy to import file video and sound like avi for video and wav or midi for sound. It was found that based on this concept the learner will understand and remember the message faster and better
format Thesis
author Shafie, Mohd Azmi
spellingShingle Shafie, Mohd Azmi
Multimedia approach to understand artificial neural network/ Mohd Azmi Shafie
author_facet Shafie, Mohd Azmi
author_sort Shafie, Mohd Azmi
title Multimedia approach to understand artificial neural network/ Mohd Azmi Shafie
title_short Multimedia approach to understand artificial neural network/ Mohd Azmi Shafie
title_full Multimedia approach to understand artificial neural network/ Mohd Azmi Shafie
title_fullStr Multimedia approach to understand artificial neural network/ Mohd Azmi Shafie
title_full_unstemmed Multimedia approach to understand artificial neural network/ Mohd Azmi Shafie
title_sort multimedia approach to understand artificial neural network/ mohd azmi shafie
publishDate 1999
url https://ir.uitm.edu.my/id/eprint/100066/1/100066.pdf
https://ir.uitm.edu.my/id/eprint/100066/
_version_ 1808976076910624768
score 13.211869

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