Extreme learning machine web portal

There has been many research and applications of the algorithm on Extreme Learning Machines (ELM). However, there is no platform which allows researchers or users to easily access these information from a direct web portal. With a web portal in place for ELM, people can better understand on the topi...

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Bibliographic Details
Main Author: Ong, Jasmine Jiemin.
Other Authors: Huang Guangbin
Format: Final Year Project (FYP)
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/53057
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author Ong, Jasmine Jiemin.
author2 Huang Guangbin
author_facet Huang Guangbin
Ong, Jasmine Jiemin.
author_sort Ong, Jasmine Jiemin.
collection NTU
description There has been many research and applications of the algorithm on Extreme Learning Machines (ELM). However, there is no platform which allows researchers or users to easily access these information from a direct web portal. With a web portal in place for ELM, people can better understand on the topic of ELM, as well as finding all the resources available on this technique from one common source. Also, this web portal will provide the means for sharing resources to the administrators, such as conference/journal materials and software codes. In this project, the web portal was built on MAMP (Apache, MYSQL, PHP) and the entire design and development of the web portal is through the use of industrial-standard software such as Adobe Photoshop CS5.5, Adobe Dreamweaver CS5.5 and through the use of web programming language which includes PHP, Javascript, HTML and CSS. The development of the web portal consists of a few stages – Preparation (Chapter 1 – Chapter 4), design of web portal (Chapter 5), implementation of web portal (Chapter 6 – Chapter 8) and the testing of web portal (Chapter 9).
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spelling ntu-10356/530572023-07-07T16:40:21Z Extreme learning machine web portal Ong, Jasmine Jiemin. Huang Guangbin School of Electrical and Electronic Engineering DRNTU::Engineering There has been many research and applications of the algorithm on Extreme Learning Machines (ELM). However, there is no platform which allows researchers or users to easily access these information from a direct web portal. With a web portal in place for ELM, people can better understand on the topic of ELM, as well as finding all the resources available on this technique from one common source. Also, this web portal will provide the means for sharing resources to the administrators, such as conference/journal materials and software codes. In this project, the web portal was built on MAMP (Apache, MYSQL, PHP) and the entire design and development of the web portal is through the use of industrial-standard software such as Adobe Photoshop CS5.5, Adobe Dreamweaver CS5.5 and through the use of web programming language which includes PHP, Javascript, HTML and CSS. The development of the web portal consists of a few stages – Preparation (Chapter 1 – Chapter 4), design of web portal (Chapter 5), implementation of web portal (Chapter 6 – Chapter 8) and the testing of web portal (Chapter 9). Bachelor of Engineering 2013-05-29T08:39:01Z 2013-05-29T08:39:01Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/53057 en Nanyang Technological University 109 p. application/pdf
spellingShingle DRNTU::Engineering
Ong, Jasmine Jiemin.
Extreme learning machine web portal
title Extreme learning machine web portal
title_full Extreme learning machine web portal
title_fullStr Extreme learning machine web portal
title_full_unstemmed Extreme learning machine web portal
title_short Extreme learning machine web portal
title_sort extreme learning machine web portal
topic DRNTU::Engineering
url http://hdl.handle.net/10356/53057
work_keys_str_mv AT ongjasminejiemin extremelearningmachinewebportal