Predicting the strength properties of slurry infiltrated fibrous concrete using artificial neural network

A software framework for probabilistic sensitivity analysis for computationally expensive models

(2016) N. Vu-Bac et al.   ADVANCES IN ENGINEERING SOFTWARE

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

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

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

Predicting the fracture toughness of PNCs: A stochastic approach based on ANN and ANFIS

(2015) Khader M. Hamdia et al.   COMPUTATIONAL MATERIALS SCIENCE

Prediction of Hybrid fibre-added concrete strength using artificial neural networks

(2015) Ali Demir   Computers and Concrete

Modeling shotcrete mix design using artificial neural network

(2015) Khan Muhammad et al.   Computers and Concrete

Prediction of Fresh and Hardened State Properties of UHPC: Comparative Study of Statistical Mixture Design and an Artificial Neural Network Model

(2015) Ehsan Ghafari et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Prediction of compressive strength of self-compacting concrete using least square support vector machine and relevance vector machine

(2014) Bhairevi Ganesh Aiyer et al.   KSCE Journal of Civil Engineering

Prediction model for compressive strength of basic concrete mixture using artificial neural networks

(2014) Srđan Kostić et al.   NEURAL COMPUTING & APPLICATIONS

Predicting concrete properties using neural networks (NN) with principal component analysis (PCA) technique

(2013) B. Boukhatem et al.   Computers and Concrete

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

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

Strength Prediction of High-Strength Concrete by Fuzzy Logic and Artificial Neural Networks

(2013) Gökmen Tayfur et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Artificial neural network for predicting drying shrinkage of concrete

(2012) Lyes Bal et al.   CONSTRUCTION AND BUILDING MATERIALS

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

Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network

(2012) J. Amani et al.   Scientia Iranica

A neural network approach for compressive strength prediction in cement-based materials through the study of pressure-stimulated electrical signals

(2011) Alex Alexandridis et al.   CONSTRUCTION AND BUILDING MATERIALS

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

(2010) Marek Słoński   COMPUTERS & STRUCTURES

Predicting the compressive strength of mortars containing metakaolin by artificial neural networks and fuzzy logic

(2009) Mustafa Sarıdemir   ADVANCES IN ENGINEERING SOFTWARE

Prediction of the moment capacity of reinforced concrete slabs in fire using artificial neural networks

(2009) Hakan Erdem   ADVANCES IN ENGINEERING SOFTWARE

Prediction of compressive strength of heavyweight concrete by ANN and FL models

(2009) C. Başyigit et al.   NEURAL COMPUTING & APPLICATIONS

Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network

(2008) Cahit Bilim et al.   ADVANCES IN ENGINEERING SOFTWARE

Analysis of durability of high performance concrete using artificial neural networks

(2008) R. Parichatprecha et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of rubberized mortar properties using artificial neural network and fuzzy logic

(2007) İlker Bekir Topçu et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Using neural networks and immune algorithms to find the optimal parameters for an IC wire bonding process

(2006) Tung-Hsu (Tony) Hou et al.   EXPERT SYSTEMS WITH APPLICATIONS