A benchmarking approach for comparing data splitting methods for modeling water resources parameters using artificial neural networks

A data clustering algorithm for stratified data partitioning in artificial neural network

(2012) Ajit K. Sahoo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting

(2012) Robert J. Abrahart et al.   PROGRESS IN PHYSICAL GEOGRAPHY

Real-time deployment of artificial neural network forecasting models: Understanding the range of applicability

(2012) Gavin J. Bowden et al.   WATER RESOURCES RESEARCH

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

(2010) Holger R. Maier et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Data splitting for artificial neural networks using SOM-based stratified sampling

(2009) R.J. May et al.   NEURAL NETWORKS

Application of partial mutual information variable selection to ANN forecasting of water quality in water distribution systems

(2008) Robert J. May et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Non-linear variable selection for artificial neural networks using partial mutual information

(2008) Robert J. May et al.   ENVIRONMENTAL MODELLING & SOFTWARE