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

A comparative study on the compressive strength prediction models for High Performance Concrete containing nano silica and copper slag using regression analysis and Artificial Neural Networks

(2016) S. Chithra et al.   CONSTRUCTION AND BUILDING MATERIALS

A Self-Adaptive Fuzzy Inference Model Based on Least Squares SVM for Estimating Compressive Strength of Rubberized Concrete

(2016) Min-Yuan Cheng et al.   INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING

Prediction and analysis of the three major industries and residential consumption CO 2 emissions based on least squares support vector machine in China

(2016) Wei Sun et al.   JOURNAL OF CLEANER PRODUCTION

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

Predicting Colonization Growth of Algae on Mortar Surface with Artificial Neural Network

(2016) Thu-Hien Tran et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Comparison of Data Mining Techniques for Predicting Compressive Strength of Environmentally Friendly Concrete

(2016) Behzad Abounia Omran et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Flexural Strength Evaluation of Reinforced Concrete Members with Ultra High Performance Concrete

(2016) Baek-Il Bae et al.   Advances in Materials Science and Engineering

Short-term wind speed prediction using empirical wavelet transform and Gaussian process regression

(2015) Jianming Hu et al.   ENERGY

CASH FLOW PREDICTION FOR CONSTRUCTION PROJECT USING A NOVEL ADAPTIVE TIME-DEPENDENT LEAST SQUARES SUPPORT VECTOR MACHINE INFERENCE MODEL

(2015) Min-Yuan Cheng et al.   Journal of Civil Engineering and Management

Recursive Gaussian Process Regression Model for Adaptive Quality Monitoring in Batch Processes

(2015) Le Zhou et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Punching shear capacity estimation of FRP-reinforced concrete slabs using a hybrid machine learning approach

(2015) Duy-Thang Vu et al.   Structure and Infrastructure Engineering

Machine learning in concrete strength simulations: Multi-nation data analytics

(2014) Jui-Sheng Chou et al.   CONSTRUCTION AND BUILDING MATERIALS

PREDICTING PROJECT SUCCESS IN CONSTRUCTION USING AN EVOLUTIONARY GAUSSIAN PROCESS INFERENCE MODEL

(2014) Min-Yuan Cheng et al.   Journal of Civil Engineering and Management

High-performance concrete compressive strength prediction using Genetic Weighted Pyramid Operation Tree (GWPOT)

(2013) Min-Yuan Cheng et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators

(2013) Mauro Castelli et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

An optimized instance based learning algorithm for estimation of compressive strength of concrete

(2012) Behrouz Ahmadi-Nedushan   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

Use of UHPC in Bridge Structures: Material Modeling and Design

(2012) Oguz Gunes et al.   Advances in Materials Science and Engineering

A new predictive model for compressive strength of HPC using gene expression programming

(2011) Seyyed Mohammad Mousavi et al.   ADVANCES IN ENGINEERING SOFTWARE

A comparison of model selection methods for compressive strength prediction of high-performance concrete using neural networks

(2010) Marek Słoński   COMPUTERS & STRUCTURES

Modelling pile capacity using Gaussian process regression

(2010) Mahesh Pal et al.   COMPUTERS AND GEOTECHNICS

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

Modeling Strength of High-Performance Concrete Using an Improved Grammatical Evolution Combined with Macrogenetic Algorithm

(2009) Li Chen et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Knowledge discovery of concrete material using Genetic Operation Trees

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