0000000000239246

AUTHOR

Giosue’ Lo Bosco

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Pelagic species identification by using a PNN neural network and echo-sounder data

2017

For several years, a group of CNR researchers conducted acoustic surveys in the Sicily Channel to estimate the biomass of small pelagic species, their geographical distribution and their variations over time. The instrument used to carry out these surveys is the scientific echo-sounder, set for different frequencies. The processing of the back scattered signals in the volume of water under investigation determines the abundance of the species. These data are then correlated with the biological data of experimental catches, to attribute the composition of the various fish schools investigated. Of course, the recognition of the fish schools helps to produce very good results, that is very clo…

Probabilistic neural networkComputer Science (all)ClassificationPelagic species identificationTheoretical Computer Science
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