Assessment of Self-Organizing Map artificial neural networks for the classification of sediment quality.

@article{AlvarezGuerra2008AssessmentOS,
  title={Assessment of Self-Organizing Map artificial neural networks for the classification of sediment quality.},
  author={Manuel Alvarez-Guerra and Cristina Gonz{\'a}lez-Pi{\~n}uela and Ana L{\'o}pez- Andr{\'e}s and Berta Gal{\'a}n and Javier R. Viguri},
  journal={Environment international},
  year={2008},
  volume={34 6},
  pages={782-90}
}
The application of mathematical tools in initial steps of sediment quality assessment frameworks can be useful to provide an integrated interpretation of multiple measured variables. This study reveals that the Self-Organizing Map (SOM) artificial neural network can be an effective tool for the integration of multiple physical, chemical and ecotoxicological variables in order to classify different sites under study according to their similar sediment quality. Sediment samples from 40 sites of 3… CONTINUE READING
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