Multilayer Perceptron with Cuckoo Search in Water Level Prediction for Flood Forecasting

被引：0

作者：

Phitakwinai, Suwannee ^{[1
]}

Aucphanwiriyakul, Sansance ^{[2
]}

Theera-Umpon, Nipon ^{[3
]}

机构：

[1] Chiang Mai Univ, Fac Engn, Dept Comp Engn, Chiang Mai, Thailand

[2] Chiang Mai Univ, Fac Engn, Dept Comp Engn, Ctr Biomed Engn, Chiang Mai, Thailand

[3] Chiang Mai Univ, Fac Engn, Dept Elect Engn, Ctr Biomed Engn, Chiang Mai, Thailand

来源：

2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) | 2016年

关键词：

Multilayer Perceptron; Cuckoo Search Algorithm; Flood Forecasting;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：519 / 524

页数：6

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