Multi-step-ahead neural networks for flood forecasting

@inproceedings{Chang2007MultistepaheadNN,
  title={Multi-step-ahead neural networks for flood forecasting},
  author={Fi-John Chang and Yen-Ming Chiang and Li-Chiu Chang},
  year={2007}
}
A reliable flood warning system depends on efficient and accurate forecasting technology. A systematic investigation of three common types of artificial neural networks (ANNs) for multi-stepahead (MSA) flood forecasting is presented. The operating mechanisms and principles of the three types of MSA neural networks are explored: multi-input multi-output (MIMO), multi-input single-output (MISO) and serial-propagated structure. The most commonly used multi-layer feed-forward networks with… CONTINUE READING
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