Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms

Explore an evolutionary recurrent ANFIS for modelling multi-step-ahead flood forecasts

(2019) Yanlai Zhou et al.   JOURNAL OF HYDROLOGY

Integration of Advanced Soft Computing Techniques in Hydrological Predictions

(2019) Kwok-wing Chau   Atmosphere

Predicting compressive strength of lightweight foamed concrete using extreme learning machine model

(2018) Zaher Mundher Yaseen et al.   ADVANCES IN ENGINEERING SOFTWARE

A real-time hourly water index for flood risk monitoring: Pilot studies in Brisbane, Australia, and Dobong Observatory, South Korea

(2018) Ravinesh C. Deo et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Application of the Hybrid Artificial Neural Network Coupled with Rolling Mechanism and Grey Model Algorithms for Streamflow Forecasting Over Multiple Time Horizons

(2018) Zaher Mundher Yaseen et al.   WATER RESOURCES MANAGEMENT

Emotional ANN (EANN) and Wavelet-ANN (WANN) Approaches for Markovian and Seasonal Based Modeling of Rainfall-Runoff Process

(2018) Elnaz Sharghi et al.   WATER RESOURCES MANAGEMENT

Conjunction of emotional ANN (EANN) and wavelet transform for rainfall-runoff modeling

(2018) Elnaz Sharghi et al.   JOURNAL OF HYDROINFORMATICS

Quantifying hourly suspended sediment load using data mining models: Case study of a glacierized Andean catchment in Chile

(2018) Khabat Khosravi et al.   JOURNAL OF HYDROLOGY

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

(2018) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Assessing the long-term effects of land use changes on runoff patterns and food production in a large lake watershed with policy implications

(2017) Zhandong Sun et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Review and comparison of performance indices for automatic model induction

(2017) Jayashree Chadalawada et al.   JOURNAL OF HYDROINFORMATICS

Improved error modelling for streamflow forecasting at hourly time steps by splitting hydrographs into rising and falling limbs

(2017) Ming Li et al.   JOURNAL OF HYDROLOGY

An Emotional ANN (EANN) approach to modeling rainfall-runoff process

(2017) Vahid Nourani   JOURNAL OF HYDROLOGY

Calibrating hourly rainfall-runoff models with daily forcings for streamflow forecasting applications in meso-scale catchments

(2016) James C. Bennett et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Regional Statistical and Precipitation-Runoff Modelling for Ecological Applications: Prediction of Hourly Streamflow in Regulated Rivers and Ungauged Basins

(2016) Teklu T. Hailegeorgis et al.   RIVER RESEARCH AND APPLICATIONS

Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review

(2016) Farzad Fahimi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Multivariate adaptive regression splines and neural network models for prediction of pile drivability

(2016) Wengang Zhang et al.   Geoscience Frontiers

Hourly runoff forecasting for flood risk management: Application of various computational intelligence models

(2015) Honey Badrzadeh et al.   JOURNAL OF HYDROLOGY

Advanced river flood monitoring, modelling and forecasting

(2015) Galina Merkuryeva et al.   Journal of Computational Science

Practical emotional neural networks

(2014) Ehsan Lotfi et al.   NEURAL NETWORKS

BRAIN EMOTIONAL LEARNING-BASED PATTERN RECOGNIZER

(2013) Ehsan Lotfi et al.   CYBERNETICS AND SYSTEMS

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

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

(2009) Hoshin V. Gupta et al.   JOURNAL OF HYDROLOGY

Performance of Multivariate Adaptive Regression Splines (MARS) in predicting runoff in mid-Himalayan micro-watersheds with limited data / Performances de régressions par splines multiples et adaptives (MARS) pour la prévision d'écoulement au sein de micro-bassins versants Himalayens d'altitudes intermédiaires avec peu de données

(2008) V. N. SHARDA et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

A Modified Backpropagation Learning Algorithm With Added Emotional Coefficients

(2008) A. Khashman   IEEE TRANSACTIONS ON NEURAL NETWORKS