Related references
Note: Only part of the references are listed.A new paradigm of water, food, and energy nexus
Amir Molajou et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023)
Comparison of different methodologies for rainfall-runoff modeling: machine learning vs conceptual approach
Rana Muhammad Adnan et al.
NATURAL HAZARDS (2021)
Assessing the effect of emotional unit of emotional ANN (EANN) in estimation of the prediction intervals of suspended sediment load modeling
Elnaz Sharghi et al.
EARTH SCIENCE INFORMATICS (2021)
Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms
Zaher Mundher Yaseen et al.
WATER RESOURCES MANAGEMENT (2020)
A novel artificial intelligent model for predicting air overpressure using brain inspired emotional neural network
Victor Amoako Temeng et al.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2020)
Rainfall-runoff modeling through regression in the reproducing kernel Hilbert space algorithm
Mir Jafar Sadegh Safari et al.
JOURNAL OF HYDROLOGY (2020)
Emotional artificial neural networks (EANNs) for multi-step ahead prediction of monthly precipitation; case study: northern Cyprus
Vahid Nourani et al.
THEORETICAL AND APPLIED CLIMATOLOGY (2019)
Conjunction of emotional ANN (EANN) and wavelet transform for rainfall-runoff modeling
Elnaz Sharghi et al.
JOURNAL OF HYDROINFORMATICS (2019)
A Comparison of Emotional Neural Network (ENN) and Artificial Neural Network (ANN) Approach for Rainfall-Runoff Modelling
Suraj Kumar et al.
CIVIL ENGINEERING JOURNAL-TEHRAN (2019)
Data mining based on wavelet and decision tree for rainfall-runoff simulation
Vahid Nourani et al.
HYDROLOGY RESEARCH (2019)
Emotional ANN (EANN) and Wavelet-ANN (WANN) Approaches for Markovian and Seasonal Based Modeling of Rainfall-Runoff Process
Elnaz Sharghi et al.
WATER RESOURCES MANAGEMENT (2018)
Soft Computing Techniques for Rainfall-Runoff Simulation: Local Non-Parametric Paradigm vs. Model Classification Methods
Mohammad Rezaie-Balf et al.
WATER RESOURCES MANAGEMENT (2017)
A winner-take-all approach to emotional neural networks with universal approximation property
E. Lotfi et al.
INFORMATION SCIENCES (2016)
Practical emotional neural networks
Ehsan Lotfi et al.
NEURAL NETWORKS (2014)
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)
A Modified Backpropagation Learning Algorithm With Added Emotional Coefficients
Adnan Khashman
IEEE TRANSACTIONS ON NEURAL NETWORKS (2008)
Integrated approach to model decomposed flow hydrograph using artificial neural network and conceptual techniques
A Jain et al.
JOURNAL OF HYDROLOGY (2006)
A neuro-fuzzy computing technique for modeling hydrological time series
PC Nayak et al.
JOURNAL OF HYDROLOGY (2004)
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
