Predicting the Compressive Strength of Concrete Using an RBF-ANN Model

An ANN Model for Predicting the Compressive Strength of Concrete

(2021) Chia-Ju Lin et al.   Applied Sciences-Basel

Wind turbine power curve modeling using radial basis function neural networks and tabu search

(2020) Despina Karamichailidou et al.   RENEWABLE ENERGY

Radial basis function artificial neural network (RBF ANN) as well as the hybrid method of RBF ANN and grey relational analysis able to well predict trihalomethanes levels in tap water

(2020) Huachang Hong et al.   JOURNAL OF HYDROLOGY

A novel approach in modelling of concrete made with recycled aggregates

(2018) Suvash Chandra Paul et al.   MEASUREMENT

Forecasting short-term subway passenger flow under special events scenarios using multiscale radial basis function networks

(2017) Yang Li et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Training radial basis function networks using biogeography-based optimizer

(2016) Ibrahim Aljarah 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

Prediction of Concrete Compressive Strength by Evolutionary Artificial Neural Networks

(2015) Mehdi Nikoo et al.   Advances in Materials Science and Engineering

Prediction of compressive strength of recycled aggregate concrete using artificial neural networks

(2012) Z.H. Duan et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network

(2011) U. Atici   EXPERT SYSTEMS WITH APPLICATIONS

An optimizing method of RBF neural network based on genetic algorithm

(2011) Shifei Ding et al.   NEURAL COMPUTING & APPLICATIONS

Evaluation of sustainable high-volume fly ash concretes

(2010) A. Durán-Herrera et al.   CEMENT & CONCRETE COMPOSITES

Simulation of free-surface waves in liquid sloshing using a domain-type meshless method

(2010) Nan-Jing Wu et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS

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

Neural networks for predicting compressive strength of structural light weight concrete

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

Prediction of the compressive strength of no-slump concrete: A comparative study of regression, neural network and ANFIS models

(2009) Jafar Sobhani 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 concrete containing fly ash using artificial neural networks and fuzzy logic

(2007) İlker Bekir Topçu et al.   COMPUTATIONAL MATERIALS SCIENCE