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References from Using artificial neural networks to determine the relative contribution of abiotic factors influencing the establishment of insect pest species. Local targets link to admitted publications; unresolved targets remain external evidence.
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Pest risk assessments: tools, resources and key challenges
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Multivariate techniques for estimating the risk of plant pest establishment in new environments
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The use of artificial neural networks to assess fish abundance and spatial occupancy in the littoral zone of a mesotrophic lake
10.1016/s0304-3800(99)00110-6 · 1999 · External reference
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Unresolved reference
External reference
Thrips palmi karny (Thysanoptera: Thripidae): could it survive in New Zealand?
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Neural network models to study relationships between lead concentration in grasses and permanent urban descriptors in Athens city (Greece)
10.1016/s0304-3800(99)00099-x · 1999 · External reference
Investigating the relationships between the distribution of British ground beetle species (Coleoptera, Carabidae) and temperature, precipitation and altitude
10.1111/j.1365-2699.2005.01258.x · 2005 · External reference
Statistical evaluation of neural network experiments: minimum requirements and current practice
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Interpreting neural-network connection weights
1991 · External reference
Prediction of global distribution of insect pest species in relation to climate using an ecological informatics method
2006 · External reference
Review and comparison of methods to study the contribution of variables in artificial neural network models
10.1016/s0304-3800(02)00257-0 · 2003 · External reference
Null model analysis of species co-occurrence patterns
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Predictive habitat distribution models in ecology
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Generalized linear and generalized additive models in studies of species distributions: setting the scene
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Unresolved reference
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Modelling the factors that influence fish guilds composition using a back-propagation network: assessment of metrics for indices of biotic integrity
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10.1016/j.ecoinf.2006.04.001 · 2006 · Admitted local publication
Predictive modelling and spatial mapping of freshwater fish and decapod assemblages using GIS and neural networks
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Predicting ecologically important vegetation variables from remotely sensed optical/radar data using neural networks
2000 · External reference
Predicting fish yield of African lakes using neural networks
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GRASP: generalized regression analysis and spatial prediction
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The use of artificial neural networks to predict the presence of small-bodied fish in a river
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An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data
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10.1016/s0304-3800(02)00258-2 · 2003 · External reference
Climate variables and their role in site discrimination of invasive insect species distributions
10.1603/0046-225x-35.4.958 · 2006 · External reference
Predicting species invasions using ecological niche modeling: new approaches from bioinformatics attack a pressing problem
10.1641/0006-3568(2001)051[0363:psiuen]2.0.co;2 · 2001 · External reference
A quantitative study of experimental evaluations of neural network learning algorithms: current research practice
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Spatial stochastic simulation offers potential as a quantitative method for pest risk analysis
10.1111/1539-6924.00344 · 2003 · External reference
10.1016/j.ecoinf.2006.02.004 · 2006 · Admitted local publication
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Stochastic simulation for characterizing ecological spatial patterns and appraising risk
10.2307/1942103 · 1993 · External reference
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10.1038/323533a0 · 1986 · External reference
Evolving computation offers potential for estimation of pest establishment
2004 · External reference
Dynamic neuro-fuzzy inference and statistical models for risk analysis of pest insect establishment
10.1007/978-3-540-30499-9_150 · 2004 · External reference
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2002 · External reference
Predicting insect distributions in a changed climate
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The influence of environmental variables on the abundance of aquatic insects: a comparison of ordination and artificial neural networks
10.1023/a:1017047022207 · 2000 · External reference
10.1016/j.ecoinf.2006.07.002 · 2006 · Admitted local publication
Comparison of artificial neural networks models for predicting insect pest establishment
2006 · External reference
Ecoclimatic assessment of potential establishment of exotic pests
10.1093/jee/81.4.973 · 1988 · External reference
Predicting the establishment of exotic pests in relation to climate
1994 · External reference
Modelling global insect pest species assemblages to determine risk of invasion
10.1111/j.1365-2664.2006.01202.x · 2006 · External reference
Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns
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