Uranium amount estimation using artificial neural networks based on genetic algorithms
Saved in:
Main Author: | |
---|---|
Format: | Conference or Workshop Item |
Published: |
2011
|
Online Access: | http://eprints.utm.my/id/eprint/46425/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Malaysia |
id |
my.utm.46425 |
---|---|
record_format |
eprints |
spelling |
my.utm.464252017-08-30T06:40:58Z http://eprints.utm.my/id/eprint/46425/ Uranium amount estimation using artificial neural networks based on genetic algorithms Selamat, Ali 2011 Conference or Workshop Item PeerReviewed Selamat, Ali (2011) Uranium amount estimation using artificial neural networks based on genetic algorithms. In: 2011 IEEE Syamposium On Computers & Information (ISCI 2011). |
institution |
Universiti Teknologi Malaysia |
building |
UTM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Malaysia |
content_source |
UTM Institutional Repository |
url_provider |
http://eprints.utm.my/ |
format |
Conference or Workshop Item |
author |
Selamat, Ali |
spellingShingle |
Selamat, Ali Uranium amount estimation using artificial neural networks based on genetic algorithms |
author_facet |
Selamat, Ali |
author_sort |
Selamat, Ali |
title |
Uranium amount estimation using artificial neural networks based on genetic algorithms |
title_short |
Uranium amount estimation using artificial neural networks based on genetic algorithms |
title_full |
Uranium amount estimation using artificial neural networks based on genetic algorithms |
title_fullStr |
Uranium amount estimation using artificial neural networks based on genetic algorithms |
title_full_unstemmed |
Uranium amount estimation using artificial neural networks based on genetic algorithms |
title_sort |
uranium amount estimation using artificial neural networks based on genetic algorithms |
publishDate |
2011 |
url |
http://eprints.utm.my/id/eprint/46425/ |
_version_ |
1643652032577404928 |