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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| التنسيق: | وقائع المؤتمر |
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2018
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| الوصول للمادة أونلاين: | 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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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 |