Watershed Flood Forecasting Based on Cluster Analysis and BP Neural Network
This paper makes an improvement on the traditional flood forecasting method. There are two shortcomings in the conventional prediction process. First, it is not rigorous for clustering by selecting fixed features. Many factors affect the flood, so this leads the loss of useful information and inaccu...
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Published in | Computer Supported Cooperative Work and Social Computing Vol. 917; pp. 498 - 506 |
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Main Authors | , |
Format | Book Chapter |
Language | English |
Published |
Singapore
Springer
2019
Springer Singapore |
Series | Communications in Computer and Information Science |
Subjects | |
Online Access | Get full text |
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