On Blind Tests and Spatial Prediction Models
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science
Link
http://link.springer.com/content/pdf/10.1007/s11053-008-9072-y.pdf
Reference46 articles.
1. Agterberg FP, Bonham-Carter GF (2005) Measuring the performance of mineral potential maps. Nat Resourc Res 14(1):1–17. doi: 10.1007/s11053-005-4674-0 .
2. Arthur JD, Wood HAR, Baker AF, Cichon JR, Raines GL (2007) Development and implementation of a Bayesian-based aquifer vulnerability assessment in Florida. Nat Resour Res 10(2): 93–107 doi: 10.1007/s11053-007-9038-5 .
3. Begueria S (2006) Validation and evaluation of predictive models in hazard assessment and risk management. Nat Hazards, 37: 315–329 doi: 10.1007/s11069-005-5182-6 .
4. Behnia P (2007) Application of Radial Basis Functional Link Networks to exploration for Proterozoic mineral deposits in central Iran. Nat Resour Res 10(2):147–158 doi: 10.1007/s11053-007-9036-7 .
5. Brown W, Groves D, Gedeon T (2003) Use of fuzzy membership input layers to combine subjective geological knowledge and empirical data in a neural network method for mineral-potential mapping. Nat Resour Res 12(3):183–200 doi: 10.1023/A:1025175904545 .
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