Predicting behavior of FRP-confined concrete using neuro fuzzy, neural network, multivariate adaptive regression splines and M5 model tree techniques

Confined Concrete ◽

Regression Splines ◽

M5 Model Tree ◽

Neuro Fuzzy ◽

Fuzzy Neural ◽

Adaptive Regression ◽

Predicting Behavior ◽

The shuffling multivariate adaptive regression splines and adaptive neuro-fuzzy inference system as tools for QSPR study bioconcentration factors of polychlorinated biphenyls (PCBs)

Structural Chemistry ◽

10.1007/s11224-012-9987-0 ◽

2012 ◽

Vol 23 (6) ◽

pp. 1801-1807 ◽

Cited By ~ 8

Author(s):

Kobra Zarei ◽

Zohre Salehabadi

Keyword(s):

Fuzzy Inference System ◽

Fuzzy Inference ◽

Regression Splines ◽

Inference System ◽

Bioconcentration Factors ◽

Neuro Fuzzy ◽

Adaptive Regression ◽

Qspr Study ◽

Predicting the geometry of regime rivers using M5 model tree, multivariate adaptive regression splines and least square support vector regression methods

International Journal of River Basin Management ◽

10.1080/15715124.2018.1546731 ◽

2018 ◽

Vol 17 (3) ◽

pp. 333-352 ◽

Cited By ~ 6

Author(s):

Saba Shaghaghi ◽

Hossein Bonakdari ◽

Azadeh Gholami ◽

Ozgur Kisi ◽

Andrew Binns ◽

...

Keyword(s):

Support Vector Regression ◽

Least Square ◽

Support Vector ◽

Regression Splines ◽

M5 Model Tree ◽

Regression Methods ◽

Adaptive Regression ◽

Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree

Journal of Hydrology ◽

10.1016/j.jhydrol.2015.06.052 ◽

2015 ◽

Vol 528 ◽

pp. 312-320 ◽

Cited By ~ 116

Author(s):

Ozgur Kisi

Keyword(s):

Support Vector Machine ◽

Least Square ◽

Support Vector ◽

Regression Splines ◽

Pan Evaporation ◽

M5 Model Tree ◽

Adaptive Regression ◽

Shuffling multivariate adaptive regression splines and adaptive neuro-fuzzy inference system as tools for QSAR study of SARS inhibitors

Journal of Pharmaceutical and Biomedical Analysis ◽

10.1016/j.jpba.2009.07.009 ◽

2009 ◽

Vol 50 (5) ◽

pp. 853-860 ◽

Cited By ~ 31

Author(s):

M. Jalali-Heravi ◽

M. Asadollahi-Baboli ◽

A. Mani-Varnosfaderani

Keyword(s):

Fuzzy Inference System ◽

Fuzzy Inference ◽

Regression Splines ◽

Qsar Study ◽

Inference System ◽

Neuro Fuzzy ◽

Adaptive Regression ◽

Modelling daily dissolved oxygen concentration using least square support vector machine, multivariate adaptive regression splines and M5 model tree

Journal of Hydrology ◽

10.1016/j.jhydrol.2018.02.061 ◽

2018 ◽

Vol 559 ◽

pp. 499-509 ◽

Cited By ~ 49

Author(s):

Salim Heddam ◽

Ozgur Kisi

Keyword(s):

Support Vector Machine ◽

Least Square ◽

Support Vector ◽

Regression Splines ◽

Dissolved Oxygen Concentration ◽

M5 Model Tree ◽

Adaptive Regression ◽

Evaluation of mechanical properties of concretes containing coarse recycled concrete aggregates using multivariate adaptive regression splines (MARS), M5 model tree (M5Tree), and least squares support vector regression (LSSVR) models

Neural Computing and Applications ◽

10.1007/s00521-018-3630-y ◽

2018 ◽

Vol 32 (1) ◽

pp. 295-308 ◽

Cited By ~ 13

Author(s):

Aliakbar Gholampour ◽

Iman Mansouri ◽

Ozgur Kisi ◽

Togay Ozbakkaloglu

Keyword(s):

Recycled Concrete ◽

Support Vector ◽

Regression Splines ◽

M5 Model Tree ◽

Concrete Aggregates ◽

Recycled Concrete Aggregates ◽

Adaptive Regression ◽

Estimation of modified expansive soil CBR with multivariate adaptive regression splines, random forest and gradient boosting machine

Innovative Infrastructure Solutions ◽

10.1007/s41062-021-00568-z ◽

2021 ◽

Vol 6 (4) ◽

Author(s):

Chijioke Christopher Ikeagwuani

Keyword(s):

Random Forest ◽

Expansive Soil ◽

Gradient Boosting ◽

Regression Splines ◽

Gradient Boosting Machine ◽

Adaptive Regression ◽

Prediction of transportation energy demand: Multivariate Adaptive Regression Splines

Energy ◽

10.1016/j.energy.2021.120090 ◽

2021 ◽

Vol 224 ◽

pp. 120090

Author(s):

Mohammad Ali Sahraei ◽

Hakan Duman ◽

Muhammed Yasin Çodur ◽

Ecevit Eyduran

Keyword(s):

Energy Demand ◽

Regression Splines ◽

Transportation Energy ◽

Adaptive Regression ◽

Assessment of rockburst risk using multivariate adaptive regression splines and deep forest model

Acta Geotechnica ◽

10.1007/s11440-021-01299-2 ◽

2021 ◽

Author(s):

Deping Guo ◽

Hemao Chen ◽

Libin Tang ◽

Zhixiong Chen ◽

Pijush Samui

Keyword(s):

Regression Splines ◽

Forest Model ◽

Deep Forest ◽

Adaptive Regression ◽

Global Optimization With Multivariate Adaptive Regression Splines

IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ◽

10.1109/tsmcb.2006.883430 ◽

2007 ◽

Vol 37 (2) ◽

pp. 333-340 ◽

Cited By ~ 31

Author(s):

Scott Crino ◽

Donald E. Brown

Keyword(s):

Global Optimization ◽

Regression Splines ◽

Adaptive Regression ◽