Mapping environmental conditions in the St. Lawrence River onto ice parameters using artificial neural networks to predict ice jams

@inproceedings{Morse2003MappingEC,
  title={Mapping environmental conditions in the St. Lawrence River onto ice parameters using artificial neural networks to predict ice jams},
  author={Brian Morse and Masoud Hessami and C{\'e}line Bourel},
  year={2003}
}
This paper evaluates the potential of using artificial neural networks to model ice parameters related to ice jams in the St. Lawrence River navigation channel through Lake St. Pierre. The artificial neural networks mapped environmental conditions onto ice parameters through multilayer feed-forward networks. The ice parameters include velocity, thickness, concentration, and unit discharge. The input to the network is based on two meteorological parameters: wind velocity and air temperature. The… CONTINUE READING

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