Illuminating the “black box”: a randomization approach for understanding variable contributions in artificial neural networks

This publication has 39 references indexed in Scilit:

• Advances in neural network modeling of phytoplankton primary production
  Ecological Modelling, 2001
• Fish–Habitat Relationships in Lakes: Gaining Predictive and Explanatory Insight by Using Artificial Neural Networks
  Transactions of the American Fisheries Society, 2001
• A neural network model for forecasting fish stock recruitment
  Canadian Journal of Fisheries and Aquatic Sciences, 1999
• Environmental impact prediction using neural network modelling. An example in wildlife damage
  Journal of Applied Ecology, 1999
• Application of neural networks to modelling nonlinear relationships in ecology
  Published by Elsevier ,1999
• The use of artificial neural networks to predict the presence of small‐bodied fish in a river
  Freshwater Biology, 1997
• Predicting the abundance of minnowPhoxinus phoxinus(Cyprinidae) in the River Ariège (France) using artificial neural networks
  Aquatic Living Resources, 1997
• Predicting conductivity and acidity for small streams using neural networks
  Canadian Journal of Civil Engineering, 1997
• Improved estimation, using neural networks, of the food consumption of fish populations
  Marine and Freshwater Research, 1995
• Factors Affecting Fish Species Richness in Ontario Lakes
  Transactions of the American Fisheries Society, 1989