Prediction of Compressive Strength of Concrete in Wet-Dry Environment by BP Artificial Neural Networks

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

(2018) Huaicheng Chen et al.   PLoS One

Identification of Multiple-Mode Linear Models Based on Particle Swarm Optimizer with Cyclic Network Mechanism

(2017) Tae-Hyoung Kim et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Study of deterioration of concrete exposed to different types of sulfate solutions under drying-wetting cycles

(2016) Lei Jiang et al.   CONSTRUCTION AND BUILDING MATERIALS

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

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

Descriptive Statistics for Modern Test Score Distributions

(2014) Andrew D. Ho et al.   EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT

Prediction of combined effects of fibers and nanosilica on the mechanical properties of self-compacting concrete using artificial neural network

(2014) Hamid Reza Tavakoli et al.   Latin American Journal of Solids and Structures

Prediction of energy absorption capability in fiber reinforced self-compacting concrete containing nano-silica particles using artificial neural network

(2014) Hamid Reza Tavakoli et al.   Latin American Journal of Solids and Structures

An Elastoplastic Damage Constitutive Model for Cementitious Materials under Wet-Dry Cyclic Sulfate Attack

(2013) Da Chen et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Training spiking neural networks to associate spatio-temporal input–output spike patterns

(2012) Ammar Mohemmed et al.   NEUROCOMPUTING

Resistance of plain and blended cement mortars exposed to severe sulfate attacks

(2011) Thidar Aye et al.   CONSTRUCTION AND BUILDING MATERIALS

On comparing three artificial neural networks for wind speed forecasting

(2010) Gong Li et al.   APPLIED ENERGY

Neural networks for predicting compressive strength of structural light weight concrete

(2009) Marai M. Alshihri et al.   CONSTRUCTION AND BUILDING MATERIALS