- Home
- Publications
- Publication Search
- Publication Details
Title
Granular Computing for Prediction of Scour Below Spillways
Authors
Keywords
Scour hole, Ski-jump bucket, Granular computing, Dimensionless parameters, Empirical equation
Journal
WATER RESOURCES MANAGEMENT
Volume 31, Issue 1, Pages 313-326
Publisher
Springer Nature
Online
2016-10-19
DOI
10.1007/s11269-016-1526-0
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Application of a Neuro-Fuzzy GMDH Model for Predicting the Velocity at Limit of Deposition in Storm Sewers
- (2017) Mohammad Najafzadeh et al. Journal of Pipeline Systems Engineering and Practice
- How Reliable Are ANN, ANFIS, and SVM Techniques for Predicting Longitudinal Dispersion Coefficient in Natural Rivers?
- (2016) Roohollah Noori et al. JOURNAL OF HYDRAULIC ENGINEERING
- Comparison of M5 Model Tree and Artificial Neural Network’s Methodologies in Modelling Daily Reference Evapotranspiration from NOAA Satellite Images
- (2016) Ali Rahimikhoob WATER RESOURCES MANAGEMENT
- How Reliable Are ANN, ANFIS, and SVM Techniques for Predicting Longitudinal Dispersion Coefficient in Natural Rivers?
- (2016) Roohollah Noori et al. JOURNAL OF HYDRAULIC ENGINEERING
- Estimation of scour depth below free overfall spillways using multivariate adaptive regression splines and artificial neural networks
- (2015) Mehrshad Samadi et al. Engineering Applications of Computational Fluid Mechanics
- Effective prediction of scour downstream of ski-jump buckets using artificial neural networks
- (2014) R. Noori et al. Water Resources
- Group Method of Data Handling to Predict Scour at Downstream of a Ski-Jump Bucket Spillway
- (2014) Mohammad Najafzadeh et al. Earth Science Informatics
- A method based on PSO and granular computing of linguistic information to solve group decision making problems defined in heterogeneous contexts
- (2013) Francisco Javier Cabrerizo et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A granular computing-based approach to credit scoring modeling
- (2013) Morteza Saberi et al. NEUROCOMPUTING
- Conjunctive Use of Surface Water and Groundwater: Application of Support Vector Machines (SVMs) and Genetic Algorithms
- (2013) Hamid R. Safavi et al. WATER RESOURCES MANAGEMENT
- Evaluation of selected equations for predicting scour at downstream of ski-jump spillway using laboratory and field data
- (2012) Chandan Kumar et al. ENGINEERING GEOLOGY
- A Method for Rule Extraction Based on Granular Computing: Application in the Fault Diagnosis of a Helicopter Transmission System
- (2012) Min Wang et al. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
- Assessment of M5′ model tree and classification and regression trees for prediction of scour depth below free overfall spillways
- (2012) Mehrshad Samadi et al. NEURAL COMPUTING & APPLICATIONS
- A multi-output descriptive neural network for estimation of scour geometry downstream from hydraulic structures
- (2011) Aytac Guven ADVANCES IN ENGINEERING SOFTWARE
- Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction
- (2011) R. Noori et al. JOURNAL OF HYDROLOGY
- Estimation of Scour Downstream of a Ski-Jump Bucket Using Support Vector and M5 Model Tree
- (2011) Manish Kumar Goyal et al. WATER RESOURCES MANAGEMENT
- Predicting Mean and Bankfull Discharge from Channel Cross-Sectional Area by Expert and Regression Methods
- (2010) Gokmen Tayfur et al. WATER RESOURCES MANAGEMENT
- Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques
- (2008) A. Moghaddamnia et al. ADVANCES IN WATER RESOURCES
- Prediction of Scour Downstream of Grade-Control Structures Using Neural Networks
- (2008) Aytac Guven et al. JOURNAL OF HYDRAULIC ENGINEERING
- Genetic programming to predict ski-jump bucket spill-way scour
- (2008) H. MD. AZAMATHULLA et al. Journal of Hydrodynamics
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started