Learned Prediction of Compressive Strength of GGBFS Concrete Using Hybrid Artificial Neural Network Models

Real-time detection of surface deformation and strain in recycled aggregate concrete-filled steel tubular columns via four-ocular vision

(2019) Yunchao Tang et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Study of seismic behavior of recycled aggregate concrete-filled steel tubular columns

(2018) Yun-Chao Tang et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves

(2018) Ali Behnood et al.   JOURNAL OF CLEANER PRODUCTION

Towards sustainable concrete

(2017) Paulo J. M. Monteiro et al.   NATURE MATERIALS

Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition

(2017) Danial Jahed Armaghani et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

An artificial neural network based decision support system for energy efficient ship operations

(2016) E. Bal Beşikçi et al.   COMPUTERS & OPERATIONS RESEARCH

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

Utilization and efficiency of ground granulated blast furnace slag on concrete properties – A review

(2016) Erdoğan Özbay et al.   CONSTRUCTION AND BUILDING MATERIALS

Determination of Optimal Initial Weights of an Artificial Neural Network by Using the Harmony Search Algorithm: Application to Breakwater Armor Stones

(2016) Anzy Lee et al.   Applied Sciences-Basel

A comparative study of metaheuristic optimization approaches for directional overcurrent relays coordination

(2015) Mahamad Nabab Alam et al.   ELECTRIC POWER SYSTEMS RESEARCH

Prediction of seismic slope stability through combination of particle swarm optimization and neural network

(2015) Behrouz Gordan et al.   ENGINEERING WITH COMPUTERS

Performance enhancement of INS/CNS integration navigation system based on particle swarm optimization back propagation neural network

(2015) Qiuying Wang et al.   OCEAN ENGINEERING

Application of hybrid neural particle swarm optimization algorithm for prediction of MMP

(2013) Hossein Sayyad et al.   FUEL

Neural networks analysis of compressive strength of lightweight concrete after high temperatures

(2013) A. Ferhat Bingöl et al.   MATERIALS & DESIGN

Review on Methods to Fix Number of Hidden Neurons in Neural Networks

(2013) K. Gnana Sheela et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Effects of elevated temperatures on properties of concrete containing ground granulated blast furnace slag as cementitious material

(2012) Qingtao Li et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of compressive strength of concrete containing construction and demolition waste using artificial neural networks

(2012) Adriana Trocoli Abdon Dantas et al.   CONSTRUCTION AND BUILDING MATERIALS

Neural networks for predicting compressive strength of structural light weight concrete

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

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

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

Prediction of compressive strength of concretes containing metakaolin and silica fume by artificial neural networks

(2008) Mustafa Sarıdemir   ADVANCES IN ENGINEERING SOFTWARE

Evolution of mechanical properties of concrete containing ground granulated blast furnace slag and effects on the scaling resistance test at 28days

(2007) S.E. Chidiac et al.   CEMENT & CONCRETE COMPOSITES