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: Phitakwinai S., Auephanwiriyakul S., Theera-Umpon N.
Format: Conference Proceeding
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85007196118&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/41415
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-414152017-09-28T04:21:12Z Multilayer perceptron with Cuckoo search in water level prediction for flood forecasting Phitakwinai S. Auephanwiriyakul S. Theera-Umpon N. © 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. 2017-09-28T04:21:12Z 2017-09-28T04:21:12Z 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/6653943832/41415
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
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 Phitakwinai S.
Auephanwiriyakul S.
Theera-Umpon N.
spellingShingle Phitakwinai S.
Auephanwiriyakul S.
Theera-Umpon N.
Multilayer perceptron with Cuckoo search in water level prediction for flood forecasting
author_facet Phitakwinai S.
Auephanwiriyakul S.
Theera-Umpon N.
author_sort Phitakwinai S.
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 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85007196118&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/41415
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