Applications of symbolic machine learning to ecological modelling
- 1 December 2001
- journal article
- Published by Elsevier in Ecological Modelling
- Vol. 146 (1-3) , 263-273
- https://doi.org/10.1016/s0304-3800(01)00312-x
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Habitat suitability modelling for red deer (Cervus elaphus L.) in South-central Slovenia with classification treesEcological Modelling, 2001
- Application of machine learning techniques to the analysis of soil ecological data bases: relationships between habitat features and Collembolan community characteristicsSoil Biology and Biochemistry, 2000
- Predicting Chemical Parameters of River Water Quality from Bioindicator DataApplied Intelligence, 2000
- Interactions among the red deer (Cervus elaphus, L.) population, meteorological parameters and new growth of the natural regenerated forest in Snežnik, SloveniaEcological Modelling, 1999
- Prediction of response of zooplankton biomass to climatic and oceanic changesEcological Modelling, 1999
- The use of artificial neural networks to assess fish abundance and spatial occupancy in the littoral zone of a mesotrophic lakePublished by Elsevier ,1999
- Artificial neural networks as a tool in ecological modelling, an introductionEcological Modelling, 1999
- Predictive models of collembolan diversity and abundance in a riparian habitatEcological Modelling, 1999
- An artificial neural network approach to spatial habitat modelling with interspecific interactionPublished by Elsevier ,1999
- Machine Learning Methods for Ecological ApplicationsPublished by Springer Nature ,1999