Prediction of compressive strength of concrete modified with fly ash: Applications of neuro-swarm and neuro-imperialism models

A Mohammed, R Kurda, DJ Armaghani… - Computers and …, 2021 - koreascience.kr
In this study, two powerful techniques, namely particle swarm optimization (PSO) and
imperialist competitive algorithm (ICA) were selected and combined with a pre-developed …

Comparative study of M5 model tree and artificial neural network in estimating reference evapotranspiration using MODIS products

A Alipour, J Yarahmadi, M Mahdavi - Journal of Climatology, 2014 - Wiley Online Library
Reference evapotranspiration (ETO) is one of the major parameters affecting hydrological
cycle. Use of satellite images can be very helpful to compensate for lack of reliable weather …

Determining flow friction factor in irrigation pipes using data mining and artificial intelligence approaches

S Samadianfard, M Taghi Sattari, O Kisi… - Applied Artificial …, 2014 - Taylor & Francis
The implicit Colebrook–White equation has been widely used to estimate the friction factor
for turbulent fluid in irrigation pipes. A fast, accurate, and robust resolution of the Colebrook …

Predicting discharge coefficient of rectangular broad-crested gabion weir using M5 tree model

F Salmasi, MT Sattari - Iranian Journal of Science and Technology …, 2017 - Springer
Currently made alternative structures from loose stones, gabion weirs are preferred with
respect to solid concrete weirs formerly used in the past. By being more stable and flexible …

[HTML][HTML] Estimation of the pan evaporation coefficient in cold and dry climate conditions via the M5 regression tree model

MT Sattari, V Ahmadifar, R Delirhasannia, H Apaydín - Atmósfera, 2021 - scielo.org.mx
In this study, class A pan coefficient (K p) values were simulated via the M5 tree model, by
using daily meteorological data of four stations in the East Azerbaijan province, which has …

User behavior analysis based on user interest by web log mining

X Luo, J Wang, Q Shen, J Wang… - 2017 27th International …, 2017 - ieeexplore.ieee.org
With the rapid development of science and technology and the growing popularity of
computer networks, the scale of network users is gradually expanding, and the behavior of …

Coffee yield estimation by Landsat-8 imagery considering shading effects of planting row's orientation in center pivot

PA de Azevedo Silva, M de Carvalho Alves… - Remote Sensing …, 2021 - Elsevier
Using spectral information, obtained from orbital sensor systems, combined with spectral
indices, it's possible to characterize coffee trees conditions with their intrinsic characteristics …

Assessing the robustness of pan evaporation models for estimating reference crop evapotranspiration during recalibration at local conditions

K Babakos, D Papamichail, P Tziachris, V Pisinaras… - Hydrology, 2020 - mdpi.com
A classic method for assessing the reference crop evapotranspiration (ETo) is the pan
evaporation (Epan) method that uses Epan measurements and pan coefficient (kp) models …

[PDF][PDF] M5 model tree and gene expression programming based modeling of sandy soil water movement under surface drip irrigation

S Samadianfard, AH Nazemi, AA Sadraddini - Agriculture Science …, 2014 - Citeseer
Drip irrigation has a priority in selecting an appropriate irrigation method because of its
potential of precisely applying water at the requested quantity and position through a field. A …

Efficient shear stress distribution detection in circular channels using Extreme Learning Machines and the M5 model tree algorithm

ZS Khozani, H Bonakdari, AH Zaji - Urban Water Journal, 2017 - Taylor & Francis
With the aid of 174 laboratory data sets, Extreme Learning Machine (ELM) and decision tree
(M5) models were investigated in predicting the shear stress distribution in circular …