Multilayer perceptron with Cuckoo search in water level prediction for flood forecasting

© 2016 IEEE. The feed forward multilayer perceptron (MLP) with the Cuckoo search (CS) algorithm, called CS-MLP is implemented to predict 7-hours-ahead water level of the Ping river at the downtown area of Chiang Mai, Thailand. The CS-MLP model prediction performance is compared with the regular mult...

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Main Authors:	Suwannee Phitakwinai, Sansanee Auephanwiriyakul, Nipon Theera-Umpon
Format:	Conference Proceeding
Published:	2018
Subjects:	Computer Science
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85007196118&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55498
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-55498
record_format	dspace
spelling	th-cmuir.6653943832-554982018-09-05T02:57:14Z Multilayer perceptron with Cuckoo search in water level prediction for flood forecasting Suwannee Phitakwinai Sansanee Auephanwiriyakul Nipon Theera-Umpon Computer Science © 2016 IEEE. The feed forward multilayer perceptron (MLP) with the Cuckoo search (CS) algorithm, called CS-MLP is implemented to predict 7-hours-ahead water level of the Ping river at the downtown area of Chiang Mai, Thailand. The CS-MLP model prediction performance is compared with the regular multilayer perceptron (MLP) and the results from the previous work. The CS-MLP is the best among them with the mean absolute error on the blind test data set of 6.836 cm. 2018-09-05T02:57:14Z 2018-09-05T02:57:14Z 2016-10-31 Conference Proceeding 2-s2.0-85007196118 10.1109/IJCNN.2016.7727243 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85007196118&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55498
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Computer Science
spellingShingle	Computer Science Suwannee Phitakwinai Sansanee Auephanwiriyakul Nipon Theera-Umpon Multilayer perceptron with Cuckoo search in water level prediction for flood forecasting
description	© 2016 IEEE. The feed forward multilayer perceptron (MLP) with the Cuckoo search (CS) algorithm, called CS-MLP is implemented to predict 7-hours-ahead water level of the Ping river at the downtown area of Chiang Mai, Thailand. The CS-MLP model prediction performance is compared with the regular multilayer perceptron (MLP) and the results from the previous work. The CS-MLP is the best among them with the mean absolute error on the blind test data set of 6.836 cm.
format	Conference Proceeding
author	Suwannee Phitakwinai Sansanee Auephanwiriyakul Nipon Theera-Umpon
author_facet	Suwannee Phitakwinai Sansanee Auephanwiriyakul Nipon Theera-Umpon
author_sort	Suwannee Phitakwinai
title	Multilayer perceptron with Cuckoo search in water level prediction for flood forecasting
title_short	Multilayer perceptron with Cuckoo search in water level prediction for flood forecasting
title_full	Multilayer perceptron with Cuckoo search in water level prediction for flood forecasting
title_fullStr	Multilayer perceptron with Cuckoo search in water level prediction for flood forecasting
title_full_unstemmed	Multilayer perceptron with Cuckoo search in water level prediction for flood forecasting
title_sort	multilayer perceptron with cuckoo search in water level prediction for flood forecasting
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85007196118&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55498
_version_	1681424516985651200

Multilayer perceptron with Cuckoo search in water level prediction for flood forecasting

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