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Habitat prediction and knowledge extraction for spawning European grayling (Thymallus thymallus L.) using a broad range of species distribution models.

, , , , и . Environ. Model. Softw., (2013)

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Kiyoaki Fukuda

Shinji Koiwa

Ryoko Fukuda

Shinji Maeda

 

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Modelling Fish Habitat Preference with a Genetic Algorithm-Optimized Takagi-Sugeno Model Based on Pairwise Comparisons., , , и . Eurofuse, том 107 из Advances in Intelligent and Soft Computing, стр. 375-387. Springer, (2011)A Preliminary Analysis for Improving Model Structure of Fuzzy Habitat Preference Model for Japanese Medaka (Oryzias latipes).. IFSA/EUSFLAT Conf., стр. 1258-1263. (2009)Artificial lateral line for aquatic habitat modelling: An example for Lefua echigonia., , , , , и . Ecol. Informatics, (2021)Random Forests Hydrodynamic Flow Classification in a Vertical Slot Fishway Using a Bioinspired Artificial Lateral Line Probe., , , , и . ICIRA (2), том 9835 из Lecture Notes in Computer Science, стр. 297-307. Springer, (2016)Assessing the effects of zero abundance data on habitat preference modelling using a genetic Takagi-Sugeno fuzzy model.. FUZZ-IEEE, стр. 272-277. IEEE, (2011)Effects of data prevalence on species distribution modelling using a genetic takagi-sugeno fuzzy system.. GEFS, стр. 21-27. IEEE, (2013)Assessing the applicability of fuzzy neural networks for habitat preference evaluation of Japanese medaka (Oryzias latipes).. Ecol. Informatics, 6 (5): 286-295 (2011)Habitat prediction and knowledge extraction for spawning European grayling (Thymallus thymallus L.) using a broad range of species distribution models., , , , и . Environ. Model. Softw., (2013)Effect of the Light Environment on Image-Based SPAD Value Prediction of Radish Leaves., и . Algorithms, 17 (1): 16 (2024)Modelling the relationships between local landscape features and habitat suitability of Genji-firefly Luciola cruciata using Random Forests., , и . SCIS/ISIS, стр. 1-4. IEEE, (2022)