58 citations as recorded by crossref.

1. Classification of hydro-meteorological conditions and multiple artificial neural networks for streamflow forecasting E. Toth
2. Application of surrogate artificial intelligent models for real‐time flood routing H. Ghalkhani et al.
3. Prediction and modelling of rainfall–runoff during typhoon events using a physically-based and artificial neural network hybrid model C. Young & W. Liu
4. Comparing Sigmoid Transfer Functions for Neural Network Multistep Ahead Streamflow Forecasting H. Yonaba et al.
5. Review of Recent Developments in Hydrologic Forecast Merging Techniques M. Sheikh & P. Coulibaly
6. Simple modifications of the nonlinear regression stream temperature model for daily data A. Piotrowski & J. Napiorkowski
7. Application of neural network and adaptive neuro-fuzzy inference systems for river flow prediction N. PRAMANIK & R. PANDA
8. Knowledge Extraction from Artificial Neural Networks for Rainfall-Runoff Model Combination Systems P. Phukoetphim et al.
9. Improved Water Level Forecasting Performance by Using Optimal Steepness Coefficients in an Artificial Neural Network M. Sulaiman et al.
10. Assessing the predictive capability of randomized tree-based ensembles in streamflow modelling S. Galelli & A. Castelletti
11. Comparing various artificial neural network types for water temperature prediction in rivers A. Piotrowski et al.
12. Closure to “Improving Prediction Accuracy of Hydrologic Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence” W. Niu et al.
13. Comparative study of different wavelet based neural network models for rainfall–runoff modeling M. Shoaib et al.
14. A hybrid CNN–RNN model for rainfall–runoff modeling in the Potteruvagu watershed of India P. Shekar et al.
15. Flood prediction in southern strip of Caspian Sea watershed S. Chavoshi et al.
16. Accuracy Enhancement for Forecasting Water Levels of Reservoirs and River Streams Using a Multiple-Input-Pattern Fuzzification Approach N. Valizadeh et al.
17. Artificial neural networks aided conceptual stage design of water harvesting structures V. Chandwani et al.
18. Streamflow simulation methods for ungauged and poorly gauged watersheds A. Loukas & L. Vasiliades
19. Using Artificial Neural Networks to Forecast Monthly and Seasonal Sea Surface Temperature Anomalies in the Western Indian Ocean S. Mahongo & M. Deo
20. A comparative study of three neural network forecast combination methods for simulated river flows of different rainfall—runoff models A. SHAMSELDIN et al.
21. Runoff Analysis for a Small Watershed of Tono Area Japan by Back Propagation Artificial Neural Network with Seasonal Data A. Sohail et al.
22. Runoff forecasting by artificial neural network and conventional model A. Ghumman et al.
23. Framework for developing hybrid process-driven, artificial neural network and regression models for salinity prediction in river systems J. Hunter et al.
24. Current awareness
25. On the importance of training methods and ensemble aggregation for runoff prediction by means of artificial neural networks A. Piotrowski et al.
26. Climate models and hydrological parameter uncertainties in climate change impacts on monthly runoff and daily flow duration curve of a Mediterranean catchment H. Sellami et al.
27. Streamflow forecasting using least-squares support vector machines A. Shabri & . Suhartono
28. Modeling Slump of Ready Mix Concrete Using Genetically Evolved Artificial Neural Networks V. Chandwani et al.
29. Artificial Neural Network Modeling of the Water Quality Index Using Land Use Areas as Predictors N. Gazzaz et al.
30. Current awareness
31. A combined rotated general regression neural network method for river flow forecasting S. Yin et al.
32. Small Town Population Forecasting and Planning Method Based on Genetic Algorithm and BP Neural Network N. Shen
33. Application of neural network and time series modeling to study the suitability of drain water quality for irrigation: a case study from Egypt M. Abdel-Fattah et al.
34. Stream flow forecasting by artificial neural network (ANN) model trained by real coded genetic algorithm (GA) S. A et al.
35. Error Correction of Rainfall-Runoff Models With the ARMAsel Program P. Broersen
36. Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors N. Gazzaz et al.
37. Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition W. Wang et al.
38. Simulation of river stage using artificial neural network and MIKE 11 hydrodynamic model R. Panda et al.
39. Monthly Streamflow Forecasting Using Decomposition-Based Hybridization with Two-step Verification Method Over the Mangla Watershed, Pakistan M. Tayyab et al.
40. River flow forecasting through nonlinear local approximation in a fuzzy model P. Nayak et al.
41. Development of Process and Data Centric Inference System for Enhanced Production of L-Asparaginase from Halotolerant Bacillus licheniformis PPD37 P. Patel et al.
42. Comparison of artificial neural networks and autoregressive model for inflows forecasting of Roseires Reservoir for better prediction of irrigation water supply in Sudan M. Abdellatif et al.
43. A metamodeling with CFD method for hydrodynamic optimisations of deflectors on a multi-wing trawl door G. Wang et al.
44. Toward Optimal Rainfall for Flood Prediction in Headwater Basins—Orographic QPE Error Modeling Using Machine Learning M. Liao & A. Barros
45. Grey model for prediction of pore pressure change M. Mohammed et al.
46. Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks V. Chandwani et al.
47. Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting R. Abrahart et al.
48. Bioengineering for multiple PAHs degradation using process centric and data centric approaches H. Gosai et al.
49. Review of Nitrogen Compounds Prediction in Water Bodies Using Artificial Neural Networks and Other Models P. Kumar et al.
50. Surface Water Quality Model: Impacts of Influential Variables P. Yousefi et al.
51. Short‐term flood forecasting with a neurofuzzy model P. Nayak et al.
52. RETRACTED: Machine learning approaches for estimation of sediment settling velocity S. Zhu et al.
53. Prediction of mechanical properties of non-welded and moderately welded ignimbrite using physical properties, ultrasonic pulse velocity, and point load index tests A. Binal
54. Application of Machine Learning Techniques in Rainfall–Runoff Modelling of the Soan River Basin, Pakistan M. Khan et al.
55. Comparing the Selected Transfer Functions and Local Optimization Methods for Neural Network Flood Runoff Forecast P. Maca et al.
56. A hybrid linear‐neural model for river flow forecasting M. Chetan & K. Sudheer
57. Comparison of soft-computing techniques: Data-driven models for flood forecasting R. Chaudhari et al.
58. Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan N. Mount et al.