Related references
Note: Only part of the references are listed.A hybrid computing model to predict rock strength index properties using support vector regression
Abbas Abbaszadeh Shahri et al.
ENGINEERING WITH COMPUTERS (2022)
A hybridized intelligence model to improve the predictability level of strength index parameters of rocks
Abbas Abbaszadeh Shahri et al.
NEURAL COMPUTING & APPLICATIONS (2021)
Bedload transport: a walk between randomness and determinism. Part 1. The state of the art
Christophe Ancey
JOURNAL OF HYDRAULIC RESEARCH (2020)
Updating the neural network sediment load models using different sensitivity analysis methods: a regional application
Reza Asheghi et al.
JOURNAL OF HYDROINFORMATICS (2020)
Bedload transport rate prediction: Application of novel hybrid data mining techniques
Khabat Khosravi et al.
JOURNAL OF HYDROLOGY (2020)
Prediction of bed load sediments using different artificial neural network models
Reza Asheghi et al.
FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING (2020)
On the complexities of sediment load modeling using integrative machine learning: Application of the great river of Loiza in Puerto Rico
Mohammad Zounemat-Kermani et al.
JOURNAL OF HYDROLOGY (2020)
Artificial intelligence models to generate visualized bedrock level: a case study in Sweden
Abbas Abbaszadeh Shahri et al.
MODELING EARTH SYSTEMS AND ENVIRONMENT (2020)
Introductory overview: Error metrics for hydrologic modelling - A review of common practices and an open source library to facilitate use and adoption
Elise K. Jackson et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2019)
An artificial neural network based model to predict spatial soil type distribution using piezocone penetration test data (CPTu)
Abdolvahed Ghaderi et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
Modern Optimization Methods in Water Resources Planning, Engineering and Management
Gokmen Tayfur
WATER RESOURCES MANAGEMENT (2017)
A fuzzy robust regression approach applied to bedload transport data
Jalal Chachi et al.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION (2017)
Advanced Methods in Neural Networks-Based Sensitivity Analysis with their Applications in Civil Engineering
Maosen Cao et al.
ARTIFICIAL NEURAL NETWORKS: MODELS AND APPLICATIONS (2016)
Prediction of bed load via suspended sediment load using soft computing methods
Ali Osman Pektas et al.
GEOFIZIKA (2015)
Evaluation of GA-SVR method for modeling bed load transport in gravel-bed rivers
Kiyoumars Roushangar et al.
JOURNAL OF HYDROLOGY (2015)
Applications of hybrid wavelet-Artificial Intelligence models in hydrology: A review
Vahid Nourani et al.
JOURNAL OF HYDROLOGY (2014)
Machine Learning Utilization for Bed Load Transport in Gravel-Bed Rivers
Vasileios Kitsikoudis et al.
WATER RESOURCES MANAGEMENT (2014)
Comparison of genetic algorithm and imperialist competitive algorithms in predicting bed load transport in clean pipe
Isa Ebtehaj et al.
WATER SCIENCE AND TECHNOLOGY (2014)
A hybrid artificial intelligence model for river flow forecasting
Carlos H. Fajardo Toro et al.
APPLIED SOFT COMPUTING (2013)
A comprehensive review of firefly algorithms
Iztok Fister et al.
SWARM AND EVOLUTIONARY COMPUTATION (2013)
Do alternate bars affect sediment transport and flow resistance in gravel-bed rivers?
Simona Francalanci et al.
EARTH SURFACE PROCESSES AND LANDFORMS (2012)
Validation and implications of an energy-based bedload transport equation
Peng Gao
SEDIMENTOLOGY (2012)
Metaheuristic optimization frameworks: a survey and benchmarking
Jose Antonio Parejo et al.
SOFT COMPUTING (2012)
Most Influential Parameters for the Bed-Load Sediment Flux Equations Used in Alluvial Rivers
Saeed Khorram et al.
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION (2010)
A comparison between flume and field bed load transport data and consequences for surface-based bed load transport prediction
A. Recking
WATER RESOURCES RESEARCH (2010)
Artificial neural network for bedload estimation in alluvial rivers
Mustafa Sasal et al.
JOURNAL OF HYDRAULIC RESEARCH (2009)
An ANFIS-based approach for predicting the bed load for moderately sized rivers
H. Md Azamathulla et al.
JOURNAL OF HYDRO-ENVIRONMENT RESEARCH (2009)
Relation between flow, surface-layer armoring and sediment transport in gravel-bed rivers
John Pitlick et al.
EARTH SURFACE PROCESSES AND LANDFORMS (2008)
Bed Load Equation Evaluation based on Alluvial River Data, India
S. M. Yadav et al.
KSCE JOURNAL OF CIVIL ENGINEERING (2008)
A survey on metaheuristics for stochastic combinatorial optimization
Leonora Bianchi et al.
Natural Computing (2008)
Feedback between bed load transport and flow resistance in gravel and cobble bed rivers
A. Recking et al.
WATER RESOURCES RESEARCH (2008)
A physically-based bedload transport model developed for 3-D reach-scale cellular modelling
Rebecca Hodge et al.
GEOMORPHOLOGY (2007)
Formula for sediment transport in rivers, estuaries, and coastal waters
SQ Yang
JOURNAL OF HYDRAULIC ENGINEERING (2005)
A general power equation for predicting bed load transport rates in gravel bed rivers
JJ Barry
WATER RESOURCES RESEARCH (2004)
Metaheuristics in combinatorial optimization: Overview and conceptual comparison
C Blum et al.
ACM COMPUTING SURVEYS (2003)
Sensitivity analysis for importance assessment
A Saltelli
RISK ANALYSIS (2002)
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)