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。Landslide susceptibility mapping using hybridized block modular intelligence model
Abbas Abbaszadeh Shahri et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2021)
A hybridized intelligence model to improve the predictability level of strength index parameters of rocks
Abbas Abbaszadeh Shahri et al.
NEURAL COMPUTING & APPLICATIONS (2021)
Performance of Bedload Sediment Transport Formulas Applied to the Lower Minnesota River
Elisa Armijos et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2021)
Prediction of sediment transport rates in gravel-bed rivers using Gaussian process regression
Kiyoumars Roushangar et al.
JOURNAL OF HYDROINFORMATICS (2020)
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)
The Physics of Sediment Transport Initiation, Cessation, and Entrainment Across Aeolian and Fluvial Environments
Thomas Pahtz et al.
REVIEWS OF GEOPHYSICS (2020)
Prediction of bed load sediments using different artificial neural network models
Reza Asheghi et al.
FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING (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)
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)
Prediction of Uniaxial Compressive Strength of Different Quarried Rocks Using Metaheuristic Algorithm
Reza Asheghi et al.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2019)
A Unified Approach to Bed Load Transport Description Over a Wide Range of Flow Conditions via the Use of Conditional Data Treatment
WuRong Shih et al.
WATER RESOURCES RESEARCH (2018)
Stochastic Configuration Networks: Fundamentals and Algorithms
Dianhui Wang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2017)
ARTIFICIAL NEURAL NETWORK FOR BED LOAD TRANSPORT RATE IN NESTOS RIVER, GREECE
T. Papalaskaris et al.
SPECIAL TOPICS & REVIEWS IN POROUS MEDIA-AN INTERNATIONAL JOURNAL (2017)
Prediction of bed load via suspended sediment load using soft computing methods
Ali Osman Pektas et al.
GEOFIZIKA (2015)
ANN Based Sediment Prediction Model Utilizing Different Input Scenarios
Haitham Abdulmohsin Afan et al.
WATER RESOURCES MANAGEMENT (2015)
Development of GEP-based functional relationship for sediment transport in tropical rivers
Aminuddin Ab Ghani et al.
NEURAL COMPUTING & APPLICATIONS (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)
An analysis of nonlinearity effects on bed load transport prediction
A. Recking
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE (2013)
Do alternate bars affect sediment transport and flow resistance in gravel-bed rivers?
Simona Francalanci et al.
EARTH SURFACE PROCESSES AND LANDFORMS (2012)
Neural network prediction of bed material load transport
Bimlesh Kumar
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2012)
Validation and implications of an energy-based bedload transport equation
Peng Gao
SEDIMENTOLOGY (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 method for estimating the mean bed load flux in braided rivers
W. Bertoldi et al.
GEOMORPHOLOGY (2009)
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)
Analysis of bedload transport characteristics of Idaho streams and rivers
Jasna Muskatirovic
EARTH SURFACE PROCESSES AND LANDFORMS (2008)
Performance of bed-load transport equations relative to geomorphic significance: Predicting effective discharge and its transport rate
Jeffrey J. Barry et al.
JOURNAL OF HYDRAULIC ENGINEERING (2008)
Machine learning approach to modeling sediment transport
B. Bhattacharya et al.
JOURNAL OF HYDRAULIC ENGINEERING (2007)
The potential rate of bed-load transport
Basil Gomez
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2006)
Reanalysis and correction of bed-load relation of Meyer-Peter and Muller using their own database
Miguel Wong et al.
JOURNAL OF HYDRAULIC ENGINEERING (2006)
Formula for sediment transport in rivers, estuaries, and coastal waters
SQ Yang
JOURNAL OF HYDRAULIC ENGINEERING (2005)
Nonlinear dynamics extraction for time-delay systems using modular neural networks synchronization and prediction
S Ortín et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2005)
A general power equation for predicting bed load transport rates in gravel bed rivers
JJ Barry
WATER RESOURCES RESEARCH (2004)
The missing dimension: effects of lateral variation on 1-D calculations of fluvial bedload transport
RI Ferguson
GEOMORPHOLOGY (2003)
Learning soft computing control strategies in a modular neural network architecture
SK Sharma et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2003)
Review and comparison of methods to study the contribution of variables in artificial neural network models
M Gevrey et al.
ECOLOGICAL MODELLING (2003)
Evaluation and improvement of bed load discharge formulas based on Helly-Smith sampling in an alpine gravel bed river (vol 128, pg 484, 2002)
HM Haberstack et al.
JOURNAL OF HYDRAULIC ENGINEERING-ASCE (2002)
Mathematical modeling of watershed hydrology
VP Singh et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2002)
Evaluation and improvement of bed load discharge formulas based on Helley-Smith sampling in an alpine gravel bed river
HM Habersack et al.
JOURNAL OF HYDRAULIC ENGINEERING-ASCE (2002)
River flow prediction using artificial neural networks: generalisation beyond the calibration range
CE Imrie et al.
JOURNAL OF HYDROLOGY (2000)