Compressive strength prediction of high-performance concrete using gradient tree boosting machine

Computational design optimization of concrete mixtures: A review

(2018) M.A. DeRousseau et al.   CEMENT AND CONCRETE RESEARCH

Comparative Study of Hybrid Artificial Intelligence Approaches for Predicting Hangingwall Stability

(2018) Chongchong Qi et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions

(2018) Eric Schulz et al.   JOURNAL OF MATHEMATICAL PSYCHOLOGY

An approach for predicting the compressive strength of cement-based materials exposed to sulfate attack

(2018) Huaicheng Chen et al.   PLoS One

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

(2018) Aliakbar Gholampour et al.   NEURAL COMPUTING & APPLICATIONS

A regression tree approach using mathematical programming

(2017) Lingjian Yang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Failure strength prediction of aluminum spot-welded joints using kernel ridge regression

(2017) Maher Maalouf et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Optimal classification trees

(2017) Dimitris Bertsimas et al.   MACHINE LEARNING

Evaluation of Logistic Regression and Multivariate Adaptive Regression Spline Models for Groundwater Potential Mapping Using R and GIS

(2017) Soyoung Park et al.   Sustainability

Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression

(2016) Anh-Duc Pham et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Utilizing gradient boosted machine for the prediction of damage to residential structures owing to blasting vibrations of open pit mining

(2016) Jian Zhou et al.   JOURNAL OF VIBRATION AND CONTROL

Evaluation of peak and residual conditions of actively confined concrete using neuro-fuzzy and neural computing techniques

(2016) Iman Mansouri et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming

(2016) Palika Chopra et al.   Advances in Materials Science and Engineering

Estimating Compressive Strength of High Performance Concrete with Gaussian Process Regression Model

(2016) Nhat-Duc Hoang et al.   Advances in Civil Engineering

Assessment of concrete compressive strength prediction models

(2015) Fayez Moutassem et al.   KSCE Journal of Civil Engineering

High-performance Concrete Compressive Strength Prediction using Time-Weighted Evolutionary Fuzzy Support Vector Machines Inference Model

(2012) Min-Yuan Cheng et al.   AUTOMATION IN CONSTRUCTION

High performance concrete compressive strength forecasting using ensemble models based on discrete wavelet transform

(2012) Halil Ibrahim Erdal et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Comparison of multivariate adaptive regression splines with coupled wavelet transform artificial neural networks for runoff forecasting in Himalayan micro-watersheds with limited data

(2012) Jan Adamowski et al.   JOURNAL OF HYDROINFORMATICS

Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques

(2010) Jui-Sheng Chou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Deformable mirror model for open-loop adaptive optics using multivariate adaptive regression splines

(2010) Dani Guzmán et al.   OPTICS EXPRESS

Knowledge discovery of concrete material using Genetic Operation Trees

(2008) I-Cheng Yeh et al.   EXPERT SYSTEMS WITH APPLICATIONS

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY

Fuzzy polynomial neural networks for approximation of the compressive strength of concrete

(2007) M.H. Fazel Zarandi et al.   APPLIED SOFT COMPUTING