A Joint Application of Fuzzy Logic Approximation and a Deep Learning Neural Network to Build Fish Concentration Maps Based on Sonar Data

Dmitry Glukhov, Rykhard Bohush, Juho Mäkiö, Tatjana Hlukhava. A Joint Application of Fuzzy Logic Approximation and a Deep Learning Neural Network to Build Fish Concentration Maps Based on Sonar Data. In David Luengo, Sergey Subbotin, Peter Arras, Yevgeniy Bodyanskiy, Karsten Henke, Ivan Izonin, Vitaly Levashenko, Volodymyr Lytvynenko, Anzhelika Parkhomenko, Andreas Pester, Natalya Shakhovska, Alexei Sharpanskykh, Galyna Tabunshchyk, Carsten Wolff, Heinz-Dietrich Wuttke, Elena Zaitseva, editors, Proceedings of the Second International Workshop on Computer Modeling and Intelligent Systems (CMIS-2019), Zaporizhzhia, Ukraine, April 15-19, 2019. Volume 2353 of CEUR Workshop Proceedings, pages 133-142, CEUR-WS.org, 2019. [doi]

Authors

Dmitry Glukhov

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Rykhard Bohush

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Juho Mäkiö

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Tatjana Hlukhava

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