相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Estimation of solar radiation using neighboring stations through hybrid support vector regression boosted by Krill Herd algorithm
Babak Mohammadi et al.
ARABIAN JOURNAL OF GEOSCIENCES (2020)
Hybridization of multivariate adaptive regression splines and random forest models with an empirical equation for sediment deposition prediction in open channel flow
Mir Jafar Sadegh Safari
JOURNAL OF HYDROLOGY (2020)
Developing Novel Robust Models to Improve the Accuracy of Daily Streamflow Modeling
Babak Mohammadi et al.
WATER RESOURCES MANAGEMENT (2020)
Invasive weed optimization-based adaptive neuro-fuzzy inference system hybrid model for sediment transport with a bed deposit
Mir Jafar Sadegh Safari et al.
JOURNAL OF CLEANER PRODUCTION (2020)
Monthly long-term rainfall estimation in Central India using M5Tree, MARS, LSSVR, ANN and GEP models
Rasoul Mirabbasi et al.
NEURAL COMPUTING & APPLICATIONS (2019)
The potential of hybrid evolutionary fuzzy intelligence model for suspended sediment concentration prediction
Ozgur Kisi et al.
CATENA (2019)
Conjunction of a newly proposed emotional ANN (EANN) and wavelet transform for suspended sediment load modeling
Elnaz Sharghi et al.
WATER SUPPLY (2019)
New Approach for Sediment Yield Forecasting with a Two-Phase Feedforward Neuron Network-Particle Swarm Optimization Model Integrated with the Gravitational Search Algorithm
Sarita Gajbhiye Meshram et al.
WATER RESOURCES MANAGEMENT (2019)
Evaluating the performance of four different heuristic approaches with Gamma test for daily suspended sediment concentration modeling
Anurag Malik et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2019)
Assessment of bio-inspired metaheuristic optimisation algorithms for estimating soil temperature
Roozbeh Moazenzadeh et al.
GEODERMA (2019)
Sediment transport modeling in rigid boundary open channels using generalize structure of group method of data handling
Mir Jafar Sadegh Safari et al.
JOURNAL OF HYDROLOGY (2019)
Investigation on the Potential to Integrate Different Artificial Intelligence Models with Metaheuristic Algorithms for Improving River Suspended Sediment Predictions
Mohammad Ehteram et al.
APPLIED SCIENCES-BASEL (2019)
Comparative assessment of time series and artificial intelligence models to estimate monthly streamflow: A local and external data analysis approach
Saeid Mehdizadeh et al.
JOURNAL OF HYDROLOGY (2019)
River flow prediction using hybrid PSOGSA algorithm based on feed-forward neural network
Sarita Gajbhiye Meshram et al.
SOFT COMPUTING (2019)
Self-cleansing design of sewers: Definition of the optimum deposited bed thickness
Mir Jafar Sadegh Safari et al.
WATER ENVIRONMENT RESEARCH (2019)
Design of a Hybrid ANFIS-PSO Model to Estimate Sediment Transport in Open Channels
Isa Ebtehaj et al.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING (2019)
Estimating suspended sediment load with multivariate adaptive regression spline, teaching-learning based optimization, and artificial bee colony models
Banu Yilmaz et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
What Is the Potential of Integrating Phase Space Reconstruction with SVM-FFA Data-Intelligence Model? Application of Rainfall Forecasting over Regional Scale
Hai Tao et al.
WATER RESOURCES MANAGEMENT (2018)
Assessment of several nonlinear methods in forecasting suspended sediment concentration in streams
Mohammad Zounemat-Kermani
HYDROLOGY RESEARCH (2017)
Assessment of several nonlinear methods in forecasting suspended sediment concentration in streams
Mohammad Zounemat-Kermani
HYDROLOGY RESEARCH (2017)
Design of a fuzzy differential evolution algorithm to predict non-deposition sediment transport
Isa Ebtehaj et al.
APPLIED WATER SCIENCE (2017)
Daily suspended sediment simulation using machine learning approach
Dheeraj Kumar et al.
CATENA (2016)
Artificial neural network and regression models for flow velocity at sediment incipient deposition
Mir-Jafar-Sadegh Safari et al.
JOURNAL OF HYDROLOGY (2016)
A Hybrid PSO and DE Algorithm for Solving Engineering Optimization Problems
Ahmed F. Ali et al.
Applied Mathematics & Information Sciences (2016)
A Hybrid PSO and DE Algorithm for Solving Engineering Optimization Problems
Ahmed F. Ali et al.
Applied Mathematics & Information Sciences (2016)
Artificial intelligence based models for stream-flow forecasting: 2000-2015
Zaher Mundher Yaseen et al.
JOURNAL OF HYDROLOGY (2015)
Flood risk assessment for urban water system in a changing climate using artificial neural network
M. Abdellatif et al.
NATURAL HAZARDS (2015)
Optimal groundwater remediation design of pump and treat systems via a simulation-optimization approach and firefly algorithm
Mohammad Javad Kazemzadeh-Parsi et al.
ENGINEERING OPTIMIZATION (2015)
Artificial neural network weights optimization based on social-based algorithm to realize sediment over the river
Fatemeh Ramezani et al.
SOFT COMPUTING (2015)
Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression
Taskin Kavzoglu et al.
LANDSLIDES (2014)
Development of GEP-based functional relationship for sediment transport in tropical rivers
Aminuddin Ab Ghani et al.
NEURAL COMPUTING & APPLICATIONS (2014)
Performance assessment of PSO, DE and hybrid PSO-DE algorithms when applied to the dispatch of generation and demand
Thais de Fatima Araujo et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2013)
Daily suspended sediment load prediction using artificial neural networks and support vector machines
E. Kakaei Lafdani et al.
JOURNAL OF HYDROLOGY (2013)
Solving dynamic economic dispatch problem with security constraints using bacterial foraging PSO-DE algorithm
K. Vaisakh et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2012)
River Suspended Sediment Prediction Using Various Multilayer Perceptron Neural Network Training Algorithms-A Case Study in Malaysia
M. R. Mustafa et al.
WATER RESOURCES MANAGEMENT (2012)
Suspended sediment load prediction of river systems: An artificial neural network approach
A. M. Melesse et al.
AGRICULTURAL WATER MANAGEMENT (2011)
River Suspended Sediment Load Prediction: Application of ANN and Wavelet Conjunction Model
Taher Rajaee et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2011)
Machine Learning Approach to Predict Sediment Load - A Case Study
Hazi Md Azamathulla et al.
CLEAN-SOIL AIR WATER (2010)
River suspended sediment concentration modeling using a neural differential evolution approach
Oezguer Kisi
JOURNAL OF HYDROLOGY (2010)
Gene expression programming for total bed material load estimation-a case study
Nor Azazi Zakaria et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2010)
Sediment load prediction by genetic algorithms
Abduesselam Altunkaynak
ADVANCES IN ENGINEERING SOFTWARE (2009)
Adaptive neuro-fuzzy computing technique for suspended sediment estimation
Ozgur Kisi et al.
ADVANCES IN ENGINEERING SOFTWARE (2009)
Increase in suspended sediment discharge of the Amazon River assessed by monitoring network and satellite data
J. M. Martinez et al.
CATENA (2009)
Suspended sediment concentration estimation by an adaptive neuro-fuzzy and neural network approaches using hydro-meteorological data
M. Cobaner et al.
JOURNAL OF HYDROLOGY (2009)
Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models
Taher Rajaee et al.
SCIENCE OF THE TOTAL ENVIRONMENT (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)
The catchment sediment budget as a management tool
D. E. Walling et al.
ENVIRONMENTAL SCIENCE & POLICY (2008)
Modelling daily suspended sediment of rivers in Turkey using several data-driven techniques
Ozgur Kisi et al.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2008)
Constructing neural network sediment estimation models using a data-driven algorithm
Oezguer Kisi
MATHEMATICS AND COMPUTERS IN SIMULATION (2008)
Complex variations in sediment transport at three large river bifurcations during discharge waves in the river Rhine
Roy M. Frings et al.
SEDIMENTOLOGY (2008)
Suspended sediment load simulation by two artificial neural network methods using hydrometeorological data
Murat Alp et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2007)
Multiple linear regression model for total bed material load prediction
SK Sinnakaudan et al.
JOURNAL OF HYDRAULIC ENGINEERING (2006)
Runoff and sediment yield modeling using artificial neural networks: Upper Siwane River, India
NS Raghuwanshi et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2006)
RBF network for spatial mapping of wave heights
R Kalra et al.
MARINE STRUCTURES (2005)
Artificial neural networks for sheet sediment transport
G Tayfur
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2002)
Fitting and interpretation of sediment rating curves
NEM Asselman
JOURNAL OF HYDROLOGY (2000)
分享论文
