Length prediction of non-aerated region flow at baffled chutes using intelligent nonlinear regression methods

Ö. Faruk Dursun; Muhammed Fatih Talu; Nihat Kaya; Ömer Faruk Alçin

doi:10.1007/s12665-016-5486-8

Length prediction of non-aerated region flow at baffled chutes using intelligent nonlinear regression methods

Environmental Earth Sciences 75(8)

Article 2016 English

Abstract

1 min read

Baffled chutes are used in irrigation systems, storm water systems, wastewater canal chutes, river training, and drop structures for energy dissipation. Tw

Related publications

Article2023

A meta-analysis of labyrinth channel emitter clogging characteristics under Yellow River water drip tape irrigation

Chang Lv, Wenquan Niu, Yadan Du, Jun Sun, Aihong Dong, Menglong Wu, Fei Mu, Jinjin Zhu, Kadambot Siddique

Article2018

Viromic Analysis of Wastewater Input to a River Catchment Reveals a Diverse Assemblage of RNA Viruses

Evelien M. Adriaenssens, Kata Farkas, Christian Harrison, Davey L Jones, Heather E. Allison, Alan McCarthy

mSystems

Preprint2018

Viromic analysis of wastewater input to a river catchment reveals a diverse assemblage of RNA viruses

Evelien M. Adriaenssens, Kata Farkas, Christian Harrison, Davey L Jones, Heather E. Allison, Alan McCarthy

bioRxiv (Cold Spring Harbor Laboratory)

Article2022

Intelligent rockburst prediction model with sample category balance using feedforward neural network and Bayesian optimization

Diyuan Li, Zida Liu, Peng Xiao, Jian Zhou, Danial Jahed Armaghani

Article2023

Parameter Prediction of the Non-Linear Nomoto Model for Different Ship Loading Conditions Using Support Vector Regression

Jiafen Lan, Mao Zheng, Xiumin Chu, Shigan Ding

Journal of Marine Science and Engineering

Length prediction of non-aerated region flow at baffled chutes using intelligent nonlinear regression methods

Abstract

Discussion(0)

Related publications

A meta-analysis of labyrinth channel emitter clogging characteristics under Yellow River water drip tape irrigation

Viromic Analysis of Wastewater Input to a River Catchment Reveals a Diverse Assemblage of RNA Viruses

Viromic analysis of wastewater input to a river catchment reveals a diverse assemblage of RNA viruses

Intelligent rockburst prediction model with sample category balance using feedforward neural network and Bayesian optimization

Parameter Prediction of the Non-Linear Nomoto Model for Different Ship Loading Conditions Using Support Vector Regression