49 citations as recorded by crossref.

1. PAI-OFF: A new proposal for online flood forecasting in flash flood prone catchments G. Schmitz & J. Cullmann
2. Comparing Sigmoid Transfer Functions for Neural Network Multistep Ahead Streamflow Forecasting H. Yonaba et al.
3. Artificial neural network for bedload estimation in alluvial rivers M. Sasal et al.
4. Model Flood Alert System: Development and Application for the Theater District within Downtown Houston, Tex. B. Mukhopadhyay et al.
5. Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia M. Hameed et al.
6. Predicting Outflow Hydrographs of Potential Dike Breaches in a Bifurcating River System Using NARX Neural Networks A. Bomers
7. Flood routing modelling with Artificial Neural Networks R. Peters et al.
8. Identification of a flow-routing model for the Red River network F. Pianosi et al.
9. Accuracy Enhancement for Forecasting Water Levels of Reservoirs and River Streams Using a Multiple-Input-Pattern Fuzzification Approach N. Valizadeh et al.
10. Artificial neural networks for simulating wind effects on sprinkler distribution patterns H. Sayyadi et al.
11. Flood prediction in southern strip of Caspian Sea watershed S. Chavoshi et al.
12. Quantifying the Impact of Compounding Influencing Factors to the Water Level Decline of China’s Largest Freshwater Lake X. Ye et al.
13. Modeling inflow rates for the water exchange management in semi-intensive aquaculture ponds J. Gutiérrez-Estrada et al.
14. Quantifying the Human Induced Water Level Decline of China’s Largest Freshwater Lake from the Changing Underlying Surface in the Lake Region X. Ye et al.
15. Historic Flood Reconstruction With the Use of an Artificial Neural Network A. Bomers et al.
16. Training of Artificial Neural Networks Using Information-Rich Data S. Singh et al.
17. Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions H. Maier et al.
18. Runoff Analysis for a Small Watershed of Tono Area Japan by Back Propagation Artificial Neural Network with Seasonal Data A. Sohail et al.
19. Machine learning approach for discharge estimation in compound channels A. Adhikari et al.
20. Persistent neural calibration for discharges modelling in drought-stressed catchments I. Pulido-Calvo et al.
21. Shannon Entropy and Mean Square Errors for speeding the convergence of Multilayer Neural Networks: A comparative approach H. Rady
22. Ungauged Basin Flood Prediction Using Long Short-Term Memory and Unstructured Social Media Data J. Lee & S. Hwang
23. Spring drought prediction based on winter NAO and global SST in Portugal J. Santos et al.
24. Linear mixed modeling and artificial neural network techniques for predicting wind drift and evaporation losses under moving sprinkler irrigation systems A. Sarwar et al.
25. River Bedup Catchment Water Level Prediction Using Pre-developed ANN Model of Siniawan Catchment B. R. et al.
26. Hydraulic performance of labyrinth-channel emitters: experimental study, ANN, and GEP modeling M. Mattar et al.
27. Physically Based and Data-Driven Models and Propagation of Input Uncertainties in River Flood Prediction R. Shrestha & F. Nestmann
28. Incorporating grain-scale processes in macroscopic sediment transport models B. Vowinckel
29. Heuristic Modelling of the Water Resources Management in the Guadalquivir River Basin, Southern Spain I. Pulido-Calvo et al.
30. Current awareness
31. Daily streamflow forecasting using a wavelet transform and artificial neural network hybrid models C. Guimarães Santos & G. Silva
32. Application of neural network in prediction of temperature: a review C. Johnstone & E. Sulungu
33. Monthly Streamflow Forecasting Using Decomposition-Based Hybridization with Two-step Verification Method Over the Mangla Watershed, Pakistan M. Tayyab et al.
34. Dimensionality reduction in drought modelling J. Santos et al.
35. Assessing Hydrological and Sedimentation Effects from Bottom Topography Change in a Complex River–Lake System of Poyang Lake, China X. Ye et al.
36. Water level forecasting using neuro-fuzzy models with local learning P. Nguyen et al.
37. Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting R. Abrahart et al.
38. Künstliche Neuronale Netzwerke – ein Modelltyp mit Zukunft in der Bauphysik? M. Schmid & B. Schmid
39. Effects of environmental conditions and fishing operations on the performance of a bottom trawl D. Queirolo et al.
40. Investigating a complex lake-catchment-river system using artificial neural networks: Poyang Lake (China) Y. Li et al.
41. Hydrological model coupling with ANNs R. Kamp & H. Savenije
42. PI-SIGMA NEURAL NETWORK FOR A ONE-STEP-AHEAD TEMPERATURE FORECASTING N. HUSAINI et al.
43. Review of Machine Learning Methods for River Flood Routing L. Li & K. Jun
44. Pacific sardine (Sardinops sagax, Jenyns 1842) landings prediction. A neural network ecosystemic approach J. Gutiérrez-Estrada et al.
45. Prediction of wind drift and evaporation losses from sprinkler irrigation using neural network and multiple regression techniques H. Al-Ghobari et al.
46. Impacts of spatiotemporal resolutions of precipitation on flood event simulation based on multimodel structures – a case study over the Xiang River basin in China Q. Zhu et al.
47. A data driven approach using Takagi–Sugeno models for computationally efficient lumped floodplain modelling V. Wolfs & P. Willems
48. Optimising training data for ANNs with Genetic Algorithms R. Kamp & H. Savenije
49. Comparing the Selected Transfer Functions and Local Optimization Methods for Neural Network Flood Runoff Forecast P. Maca et al.