A Hybrid Double Feedforward Neural Network for Suspended Sediment Load Estimation

A comparative study of population-based optimization algorithms for downstream river flow forecasting by a hybrid neural network model

(2015) X.Y. Chen et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Modeling of Sediment Yield Prediction Using M5 Model Tree Algorithm and Wavelet Regression

(2014) Manish Kumar Goyal   WATER RESOURCES MANAGEMENT

Two-Dimensional Numerical Simulation of the Hydro-Sedimentary Phenomena in Lake Taabo, Côte d’Ivoire

(2013) Kouakou Lazare Kouassı et al.   WATER RESOURCES MANAGEMENT

Daily suspended sediment load prediction using artificial neural networks and support vector machines

(2012) E. Kakaei Lafdani et al.   JOURNAL OF HYDROLOGY

Prediction of suspended sediment in river using fuzzy logic and multilinear regression approaches

(2012) Mustafa Demirci et al.   NEURAL COMPUTING & APPLICATIONS

Differential Evolution as Applied to Electromagnetics

(2011) P. Rocca et al.   IEEE ANTENNAS AND PROPAGATION MAGAZINE

Suspended sediment concentration estimation by an adaptive neuro-fuzzy and neural network approaches using hydro-meteorological data

(2009) M. Cobaner et al.   JOURNAL OF HYDROLOGY

Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models

(2009) Taher Rajaee et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Adaptive neuro-fuzzy computing technique for suspended sediment estimation

(2008) Ozgur Kisi et al.   ADVANCES IN ENGINEERING SOFTWARE

Estimation of daily suspended sediments using support vector machines

(2008) MESUT ÇIMEN   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Estimation and forecasting of daily suspended sediment data using wavelet–neural networks

(2008) Turgay Partal et al.   JOURNAL OF HYDROLOGY

A genetic programming approach to suspended sediment modelling

(2008) Ali Aytek et al.   JOURNAL OF HYDROLOGY