An Artificial Neural Network Model to Predict the Thermal Properties of Concrete Using Different Neurons and Activation Functions

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

(2018) Chengyao Liang et al.   Advances in Materials Science and Engineering

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Regression and artificial neural network models for strength properties of engineered cementitious composites

(2016) Khandaker M. A. Hossain et al.   NEURAL COMPUTING & APPLICATIONS

Modeling of Compressive Strength for Self-Consolidating High-Strength Concrete Incorporating Palm Oil Fuel Ash

(2016) Md. Safiuddin et al.   Materials

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

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

Mechanical and thermophysical properties of lightweight aggregate concretes

(2015) Hasan Oktay et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of Concrete Compressive Strength by Evolutionary Artificial Neural Networks

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

Evaluation of thermal conductivity, mechanical and transport properties of lightweight aggregate foamed geopolymer concrete

(2014) Michael Yong Jing Liu et al.   ENERGY AND BUILDINGS

A review on applications of ANN and SVM for building electrical energy consumption forecasting

(2014) A.S. Ahmad et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Modeling of Thermal Conductivity of Concrete with Vermiculite by Using Artificial Neural Networks Approaches

(2012) O. Gencel et al.   EXPERIMENTAL HEAT TRANSFER

Effect of heat capacity and physical behavior on strength and durability of shale, as building material

(2012) Kamal Nandi et al.   MATERIALS AND STRUCTURES

Effective Prediction of Thermal Conductivity of Concrete Using Neural Network Method

(2012) Jong-Han Lee et al.   International Journal of Concrete Structures and Materials

Effect of expanded perlite on the mechanical properties and thermal conductivity of lightweight concrete

(2010) Ozkan Sengul et al.   ENERGY AND BUILDINGS

Neural networks for predicting compressive strength of structural light weight concrete

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

Development of CLTD values for buildings located in Kolkata, India

(2007) Karan Bansal et al.   APPLIED THERMAL ENGINEERING