Paper Abstract and Keywords |
Presentation |
2012-10-19 15:00
Seasonal Prediction of Climate in Malaysia using the Artificial Neural Networks Junaida Sulaiman, Hideo Hirose (Kyushu Inst. of Tech.) R2012-57 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Heavy precipitation events generally have the highest impact in terms of flooding and economic losses. By using Artificial Neural Network (ANN) in predicting heavy precipitation allows projections of such events in the future. Since last decade, ANN application in hydrology has grown extensively. The choice of input variables is a crucial consideration in identifying the optimal ANN model. This paper describes application of ANN for predicting heavy precipitation coupled with input variable selection (IVS) method to identify the significant inputs for heavy precipitation prediction in Malaysia. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Artificial neural network / heavy precipitation events / stepwise regression / climate indices / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 252, R2012-57, pp. 17-22, Oct. 2012. |
Paper # |
R2012-57 |
Date of Issue |
2012-10-12 (R) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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R2012-57 |
Conference Information |
Committee |
R |
Conference Date |
2012-10-19 - 2012-10-19 |
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(See Japanese page) |
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Paper Information |
Registration To |
R |
Conference Code |
2012-10-R |
Language |
English (Japanese title is available) |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Seasonal Prediction of Climate in Malaysia using the Artificial Neural Networks |
Sub Title (in English) |
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Artificial neural network |
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heavy precipitation events |
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stepwise regression |
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climate indices |
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1st Author's Name |
Junaida Sulaiman |
1st Author's Affiliation |
Kyushu Institute of Technology (Kyushu Inst. of Tech.) |
2nd Author's Name |
Hideo Hirose |
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Kyushu Institute of Technology (Kyushu Inst. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2012-10-19 15:00:00 |
Presentation Time |
25 minutes |
Registration for |
R |
Paper # |
R2012-57 |
Volume (vol) |
vol.112 |
Number (no) |
no.252 |
Page |
pp.17-22 |
#Pages |
6 |
Date of Issue |
2012-10-12 (R) |