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Classifying The Shape Of Aggregate Using Hybrid Multilayered Perceptron Network.

In concrete production, shape of aggregate reflects the quality of concrete produced. The well-shaped aggregates are said to produce high quality concrete by reducing water to cement ratio. On the contrary, poor-shaped aggregates often require higher water to cement ratio in concrete production.

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Main Authors: Joret, Ariffuddin, Mat Isa, Nor Ashidi, Ali, Ahmad Nazri, Zamli, Kamal Zuhairi, Azizli, Khairun Azizi, M Al Batah, M Subhi
Format: Conference or Workshop Item
Language:English
Published: 2005
Subjects:
TN1-997 Mining engineering. Metallurgy
Online Access:http://eprints.usm.my/14358/1/classifying.pdf
http://eprints.usm.my/14358/
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id my.usm.eprints.14358
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spelling my.usm.eprints.14358 http://eprints.usm.my/14358/ Classifying The Shape Of Aggregate Using Hybrid Multilayered Perceptron Network. Joret, Ariffuddin Mat Isa, Nor Ashidi Ali, Ahmad Nazri Zamli, Kamal Zuhairi Azizli, Khairun Azizi M Al Batah, M Subhi TN1-997 Mining engineering. Metallurgy In concrete production, shape of aggregate reflects the quality of concrete produced. The well-shaped aggregates are said to produce high quality concrete by reducing water to cement ratio. On the contrary, poor-shaped aggregates often require higher water to cement ratio in concrete production. 2005 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/14358/1/classifying.pdf Joret, Ariffuddin and Mat Isa, Nor Ashidi and Ali, Ahmad Nazri and Zamli, Kamal Zuhairi and Azizli, Khairun Azizi and M Al Batah, M Subhi (2005) Classifying The Shape Of Aggregate Using Hybrid Multilayered Perceptron Network. In: Proceedings of the 9th WSEAS International CSCC Multiconference : Circuits ’05, System ’05, Computer ’05, Communication ‘05, , 11-16 July 2005 , Vouliagmeni, Athens, Greece.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic TN1-997 Mining engineering. Metallurgy
spellingShingle TN1-997 Mining engineering. Metallurgy
Joret, Ariffuddin
Mat Isa, Nor Ashidi
Ali, Ahmad Nazri
Zamli, Kamal Zuhairi
Azizli, Khairun Azizi
M Al Batah, M Subhi
Classifying The Shape Of Aggregate Using Hybrid Multilayered Perceptron Network.
description In concrete production, shape of aggregate reflects the quality of concrete produced. The well-shaped aggregates are said to produce high quality concrete by reducing water to cement ratio. On the contrary, poor-shaped aggregates often require higher water to cement ratio in concrete production.
format Conference or Workshop Item
author Joret, Ariffuddin
Mat Isa, Nor Ashidi
Ali, Ahmad Nazri
Zamli, Kamal Zuhairi
Azizli, Khairun Azizi
M Al Batah, M Subhi
author_facet Joret, Ariffuddin
Mat Isa, Nor Ashidi
Ali, Ahmad Nazri
Zamli, Kamal Zuhairi
Azizli, Khairun Azizi
M Al Batah, M Subhi
author_sort Joret, Ariffuddin
title Classifying The Shape Of Aggregate Using Hybrid Multilayered Perceptron Network.
title_short Classifying The Shape Of Aggregate Using Hybrid Multilayered Perceptron Network.
title_full Classifying The Shape Of Aggregate Using Hybrid Multilayered Perceptron Network.
title_fullStr Classifying The Shape Of Aggregate Using Hybrid Multilayered Perceptron Network.
title_full_unstemmed Classifying The Shape Of Aggregate Using Hybrid Multilayered Perceptron Network.
title_sort classifying the shape of aggregate using hybrid multilayered perceptron network.
publishDate 2005
url http://eprints.usm.my/14358/1/classifying.pdf
http://eprints.usm.my/14358/
_version_ 1643702641638768640
score 13.211869

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