Applicability of neuro-fuzzy techniques in predicting ground-water vulnerability: a GIS-based sensitivity analysis
- 19 July 2005
- journal article
- Published by Elsevier BV in Journal of Hydrology
- Vol. 309 (1-4), 17-38
- https://doi.org/10.1016/j.jhydrol.2004.11.010
Abstract
No abstract availableKeywords
This publication has 28 references indexed in Scilit:
- A quantitative approach to aquifer vulnerability mappingJournal of Hydrology, 2003
- Sensitivity Analysis of Three-Dimensional Steady-State and Transient Spray Irrigation ModelsGroundwater, 2000
- Super–sensitivity to structure in biological modelsProceedings. Biological sciences, 1999
- Study on the Contamination of Fracture-Karst Water in Boshan District, ChinaGroundwater, 1997
- The Use of Artificial Neural Networks for the Prediction of Water Quality ParametersWater Resources Research, 1996
- Management of diffuse pollution in groundwater under imprecise conditions using fuzzy modelsWater Science & Technology, 1996
- Stock performance modeling using neural networks: A comparative study with regression modelsNeural Networks, 1994
- A Neural‐Network Approach to the Determination of Aquifer ParametersGroundwater, 1992
- Fuzzy information representation and processing in conventional GIS software: database design and applicationInternational Journal of Geographical Information Science, 1990
- Review of applications of various types of uncertainty in chemical engineeringChemical Engineering and Processing - Process Intensification, 1989