2013 ◽  
Vol 1 (6) ◽  
pp. 7333-7356 ◽  
Author(s):  
C.-P. Tsai ◽  
C.-Y. You ◽  
C.-Y. Chen

Abstract. This study applies artificial networks, including both the supervised multilayer perception neural network and the radial basis function neural network to the prediction of storm-surges at the Tanshui estuary in Taiwan. The optimum parameters for the prediction of the maximum storm-surges based on 22 previous sets of data are discussed. Two different neural network methods are adopted to build models for the prediction of storm surges and the importance of each factor is also discussed. The factors relevant to the maximum storm surges, including the pressure difference, maximum wind speed and wind direction at the Tanshui Estuary and the flow rate at the upstream station, are all investigated. These good results can further be applied to build a neural network model for prediction of storm surges with time series data.


2003 ◽  
Vol 13 (1) ◽  
pp. 39-46 ◽  
Author(s):  
Bratislav Milovanovic ◽  
Vera Markovic ◽  
Zlatica Marinkovic ◽  
Zoran Stankovic

This paper presents some applications of neural networks in the microwave modeling. The applications are related to modeling of either passive or active structures and devices. Modeling is performed using not only simple multilayer perception network (MLP) but also advanced knowledge based neural network (KBNN) structures.


2020 ◽  
Vol 40 (15) ◽  
pp. 1528003
Author(s):  
朱瑞飞 Zhu Ruifei ◽  
马经宇 Ma Jingyu ◽  
李竺强 Li Zhuqiang ◽  
王栋 Wang Dong ◽  
安源 An Yuan ◽  
...  

2012 ◽  
Vol 10 (1) ◽  
pp. 168-176
Author(s):  
Shichao Zhang ◽  
Chaofu Wei ◽  
Hui Shang ◽  
Jing'an Shao

2021 ◽  
pp. 290-302
Author(s):  
Pradeep Kumar ◽  
Niraj Singhal ◽  
Mohammad Asim ◽  
Ajay Kumar ◽  
Mahboob Alam

2000 ◽  
Vol 25 (4) ◽  
pp. 325-325
Author(s):  
J.L.N. Roodenburg ◽  
H.J. Van Staveren ◽  
N.L.P. Van Veen ◽  
O.C. Speelman ◽  
J.M. Nauta ◽  
...  

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