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。Developing a New Accuracy-Improved Model for Estimating Scour Depth Around Piers using a Hybrid Method
Majid Niazkar et al.
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING (2019)
Prediction of longitudinal dispersion coefficient in natural rivers using a cluster-based Bayesian network
Mohamad Javad Alizadeh et al.
ENVIRONMENTAL EARTH SCIENCES (2017)
Monthly River Forecasting Using Instance-Based Learning Methods and Climatic Parameters
Mohammad Reza Yazdani et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2017)
Prediction of River Pipeline Scour Depth Using Multivariate Adaptive Regression Splines
Amir Hamzeh Haghiabi
JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE (2017)
Optimal design of labyrinth spillways using meta-heuristic algorithms
Khosrow Hosseini et al.
KSCE JOURNAL OF CIVIL ENGINEERING (2016)
Application of New Hybrid Optimization Technique for Parameter Estimation of New Improved Version of Muskingum Model
Majid Niazkar et al.
WATER RESOURCES MANAGEMENT (2016)
Optimum Design of Lined Channel Sections
Majid Niazkar et al.
WATER RESOURCES MANAGEMENT (2015)
A Machine Learning Approach for the Mean Flow Velocity Prediction in Alluvial Channels
Vasileios Kitsikoudis et al.
WATER RESOURCES MANAGEMENT (2015)
Development of empirical models with high accuracy for estimation of drag coefficient of flow around a smooth sphere: An evolutionary approach
Reza Barati et al.
POWDER TECHNOLOGY (2014)
Gene-expression programming to predict friction factor for Southern Italian rivers
H. Md Azamathulla
NEURAL COMPUTING & APPLICATIONS (2013)
Genetic Programming for Predicting Longitudinal Dispersion Coefficients in Streams
Hazi Mohammad Azamathulla et al.
WATER RESOURCES MANAGEMENT (2011)
Evaluation of flow resistance in gravel-bed rivers through a large field data set
Dieter Rickenmann et al.
WATER RESOURCES RESEARCH (2011)
Metamodeling approach to predict friction factor of alluvial channel
Bimlesh Kumar et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2010)
Prediction of hourly actual evapotranspiration using neural networks, genetic programming, and statistical models
Zohreh Izadifar et al.
HYDROLOGICAL PROCESSES (2010)
Estimation of Friction Factor in Open Channels
Artemis Motamedi et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2010)
Genetic Programming to Predict River Pipeline Scour
H. Md. Azamathulla et al.
JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE (2010)
Application of artificial neural network to predict the friction factor of open channel flow
Zeng Yuhong et al.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION (2009)
Genetic programming approach for flood routing in natural channels
C. Sivapragasam et al.
HYDROLOGICAL PROCESSES (2008)
Feedback between bed load transport and flow resistance in gravel and cobble bed rivers
A. Recking et al.
WATER RESOURCES RESEARCH (2008)
Flow resistance equations without explicit estimation of the resistance coefficient for coarse-grained rivers
Raul Lopez et al.
JOURNAL OF HYDROLOGY (2007)
Determination of the unit hydrograph of a typical urban basin using genetic programming and artificial neural networks
J. R. Rabunal et al.
HYDROLOGICAL PROCESSES (2007)
Revised equations for Manning's coefficient for sand-bed rivers
Aminuddin Ab. Ghani et al.
INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT (2007)
Modified Manning formula for flow in alluvial channels with sand-beds
GL Yu et al.
JOURNAL OF HYDRAULIC RESEARCH (2003)
Open channel flow resistance
BC Yen
JOURNAL OF HYDRAULIC ENGINEERING-ASCE (2002)
分享论文
