Knowledge Extraction from Artificial Neural Networks for Rainfall-Runoff Model Combination Systems
- 1 July 2014
- journal article
- Published by American Society of Civil Engineers (ASCE) in Journal of Hydrologic Engineering
- Vol. 19 (7), 1422-1429
- https://doi.org/10.1061/(asce)he.1943-5584.0000941
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- Community versus single-species distribution models for British plantsJournal of Biogeography, 2011
- Prediction of hourly actual evapotranspiration using neural networks, genetic programming, and statistical modelsHydrological Processes, 2010
- Dissection of trained neural network hydrologic models for knowledge extractionWater Resources Research, 2009
- Rule extraction from trained adaptive neural networks using artificial immune systemsExpert Systems with Applications, 2009
- Methods to improve the neural network performance in suspended sediment estimationJournal of Hydrology, 2006
- Rainfall‐runoff models using artificial neural networks for ensemble streamflow predictionHydrological Processes, 2005
- A soil moisture index as an auxiliary ANN input for stream flow forecastingJournal of Hydrology, 2004
- Review and comparison of methods to study the contribution of variables in artificial neural network modelsEcological Modelling, 2003
- Survey and critique of techniques for extracting rules from trained artificial neural networksKnowledge-Based Systems, 1995
- Connectionist expert systemsCommunications of the ACM, 1988