Related references
Note: Only part of the references are listed.Predicting Monsoon Floods in Rivers Embedding Wavelet Transform, Genetic Algorithm and Neural Network
Rajeev Ranjan Sahay et al.
WATER RESOURCES MANAGEMENT (2014)
Flood forecasting at the Dadu River in China based on ANN
Li-Hua Feng
EXPERT SYSTEMS (2013)
Improving reliability of river flow forecasting using neural networks, wavelets and self-organising maps
Mukesh K. Tiwari et al.
JOURNAL OF HYDROINFORMATICS (2013)
Rainfall-runoff modeling using conceptual, data driven, and wavelet based computing approach
P. C. Nayak et al.
JOURNAL OF HYDROLOGY (2013)
Comparison of multi-objective evolutionary neural network, adaptive neuro-fuzzy inference system and bootstrap-based neural network for flood forecasting
Amal Kant et al.
NEURAL COMPUTING & APPLICATIONS (2013)
Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models
Mukesh K. Tiwari et al.
WATER RESOURCES RESEARCH (2013)
Wavelet regression models for predicting flood stages in rivers: a case study in Eastern India
R. R. Sahay et al.
JOURNAL OF FLOOD RISK MANAGEMENT (2013)
Hierarchical neurofuzzy model for real-time flood forecasting
Sagarika Rath et al.
INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT (2013)
Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954-2008)
D. Nalley et al.
JOURNAL OF HYDROLOGY (2012)
Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting
Robert J. Abrahart et al.
PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT (2012)
Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada
Jan Adamowski et al.
WATER RESOURCES RESEARCH (2012)
Intermittent reservoir daily-inflow prediction using lumped and distributed data multi-linear regression models
R. B. Magar et al.
JOURNAL OF EARTH SYSTEM SCIENCE (2011)
A new wavelet-bootstrap-ANN hybrid model for daily discharge forecasting
Mukesh K. Tiwari et al.
JOURNAL OF HYDROINFORMATICS (2011)
A wavelet neural network conjunction model for groundwater level forecasting
Jan Adamowski et al.
JOURNAL OF HYDROLOGY (2011)
Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds
Jan Adamowski et al.
JOURNAL OF HYDROLOGY (2010)
Development of an accurate and reliable hourly flood forecasting model using wavelet-bootstrap-ANN (WBANN) hybrid approach
Mukesh K. Tiwari et al.
JOURNAL OF HYDROLOGY (2010)
Flood Forecasting Using ANN, Neuro-Fuzzy, and Neuro-GA Models
Aditya Mukerji et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2009)
Optimal Operation of a Multi-Purpose Reservoir Using Neuro-Fuzzy Technique
Rama Mehta et al.
WATER RESOURCES MANAGEMENT (2009)
A Multivariate ANN-Wavelet Approach for Rainfall-Runoff Modeling
Vahid Nourani et al.
WATER RESOURCES MANAGEMENT (2009)
Fitting of hydrologic models: A close look at the Nash-Sutcliffe index
Sharad K. Jain et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2008)
Estimation and forecasting of daily suspended sediment data using wavelet-neural networks
Turgay Partal et al.
JOURNAL OF HYDROLOGY (2008)
The research of monthly discharge predictor-corrector model based on wavelet decomposition
Hui-Cheng Zhou et al.
WATER RESOURCES MANAGEMENT (2008)
An exploration of artificial neural network rainfall-runoff forecasting combined with wavelet decomposition
F Anctil et al.
JOURNAL OF ENVIRONMENTAL ENGINEERING AND SCIENCE (2004)
Nonlinear model for drought forecasting based on a conjunction of wavelet transforms and neural networks
TW Kim et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2003)
Short-term water demand forecast modelling at IIT Kanpur using artificial neural networks
A Jain et al.
WATER RESOURCES MANAGEMENT (2001)
Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications
HR Maier et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2000)
Share Paper
