Consideration of fuzziness: Is it necessary in modelling fish habitat preference of Japanese medaka (Oryzias latipes)?
- 10 November 2009
- journal article
- Published by Elsevier BV in Ecological Modelling
- Vol. 220 (21), 2877-2884
- https://doi.org/10.1016/j.ecolmodel.2008.12.025
Abstract
No abstract availableKeywords
This publication has 28 references indexed in Scilit:
- Optimisation of a fuzzy physical habitat model for spawning European grayling (Thymallus thymallus L.) in the Aare river (Thun, Switzerland)Ecological Modelling, 2008
- Fuzzy neural network model for habitat prediction and HEP for habitat quality estimation focusing on Japanese medaka (Oryzias latipes) in agricultural canalsPaddy and Water Environment, 2006
- Forecasting Potential Distributions of Nonindigenous Species with a Genetic AlgorithmFisheries, 2006
- GA-based model optimization for preference intensity of Japanese Medaka Fish (Oryzias latipes) to streamflow environmentsPaddy and Water Environment, 2004
- Changes in movement, range and habitat preferences of adult grayling from late summer to early winterJournal of Fish Biology, 2004
- Size-related changes in habitat selection by larval grayling (Thymallus thymallus L.)Ecology of Freshwater Fish, 2003
- Formulation of Habitat Suitability Models for Stream Fish Guilds: Do the Standard Methods Work?Transactions of the American Fisheries Society, 2001
- Fuzzy indices of environmental conditionsEcological Modelling, 2000
- The use of artificial neural networks to predict the presence of small‐bodied fish in a riverFreshwater Biology, 1997
- Application of neural networks to modelling nonlinear relationships in ecologyEcological Modelling, 1996