A real-time forecast model using artificial neural network for after-runner storm surges on the Tottori coast, Japan

2016 ◽  
Vol 122 ◽  
pp. 44-53 ◽  
Author(s):  
Sooyoul Kim ◽  
Yoshiharu Matsumi ◽  
Shunqi Pan ◽  
Hajime Mase
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Real Time ◽  
Storm Surges ◽  
Forecast Model ◽  
Artificial Neural

Test on Flood Prediction-Model Using Artificial Neural Network for ShiiLiAn Hydrologic Station on MinChiang,China

2010 ◽  
Vol 39 ◽  
pp. 555-561 ◽  
Author(s):  
Qing Hua Luan ◽  
Yao Cheng ◽  
Zha Xin Ima
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Flood Control ◽  
Back Propagation ◽  
Forecast Model ◽  
Flood Forecast ◽  
Back Propagation Algorithm ◽  
Nonlinear Method ◽  
Flood Prediction ◽  
Artificial Neural

The establishing of a precise simulation model for runoff prediction in river with several tributaries is the difficulty of flood forecast, which is also one of the difficulties in hydrologic research. Due to the theory of Artificial Neural Network, using Back Propagation algorithm, the flood forecast model for ShiLiAn hydrologic station in Minjiang River is constructed and validated in this study. Through test, the result shows that the forecast accuracy is satisfied for all check standards of flood forecast and then proves the feasibility of using nonlinear method for flood forecast. This study provides a new method and reference for flood control and water resources management in the local region.

Artificial Neural Network Based Forecasting of Power Under Real Time Monitoring Environment

2021 ◽  
Author(s):  
Muhammad Zilal Bin Ab Hamid Pahmi ◽  
Afida Ayob ◽  
Shaheer Ansari ◽  
Mohamad Hanif Md Saad ◽  
Aini Hussain
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Real Time ◽  
Real Time Monitoring ◽  
Artificial Neural
Sign in / Sign up

Export Citation Format

Share Document