Deep neural network applied to joint shear strength for exterior RC beam-column joints affected by cyclic loadings

A machine learning-based formulation for predicting shear capacity of squat flanged RC walls

(2021) Duy-Duan Nguyen et al.   Structures

Leveraging artificial intelligence for more accurate and reliable predictions of anchors shear breakout capacity in thin concrete members

(2021) Ahmad Tarawneh et al.   Structures

Determining post-fire residual compressive strength of reinforced concrete shear walls using the BAT algorithm

(2021) Elham Shadbahr et al.   Structures

Physics-Informed Artificial Neural Network Approach for Axial Compression Buckling Analysis of Thin-Walled Cylinder

(2020) Fei Tao et al.   AIAA JOURNAL

Bond Strength Assessment of Concrete-Corroded Rebar Interface Using Artificial Neutral Network

(2020) Yi Wang et al.   Applied Sciences-Basel

Joint shear strength models for exterior RC beam-column connections exposed to biaxial and uniaxial cyclic loading

(2020) Yasmin Murad   Journal of Building Engineering

Development and application of ANN model for property prediction of supercritical kerosene

(2020) Bo Li et al.   COMPUTERS & FLUIDS

Artificial neural networks to assess the useful life of reinforced concrete elements deteriorated by accelerated chloride tests

(2020) J.M.P.Q. Delgado et al.   Journal of Building Engineering

Neural network application for distortional buckling capacity assessment of castellated steel beams

(2020) Mahmoud Hosseinpour et al.   Structures

Prediction of axial load-carrying capacity of GFRP-reinforced concrete columns through artificial neural networks

(2020) Ali Raza et al.   Structures

Optimization design of rectangular concrete-filled steel tube short columns with Balancing Composite Motion Optimization and data-driven model

(2020) Huan Thanh Duong et al.   Structures

Crop Yield Prediction Using Deep Neural Networks

(2019) Saeed Khaki et al.   Frontiers in Plant Science

Nonseismic and seismic designed beam-column joints with rebar end anchors – Behaviour under reverse cyclic loading

(2019) Saptarshi Sasmal et al.   JOURNAL OF EARTHQUAKE ENGINEERING

An artificial neural network (ANN) expert system enhanced with the electromagnetism-based firefly algorithm (EFA) for predicting the energy consumption in buildings

(2019) Dac-Khuong Bui et al.   ENERGY

ANN and GEP prediction for simultaneous effect of nano and micro silica on the compressive and flexural strength of cement mortar

(2018) Mohammad Azimi-Pour et al.   CONSTRUCTION AND BUILDING MATERIALS

A survey of deep neural network architectures and their applications

(2017) Weibo Liu et al.   NEUROCOMPUTING

Shear strength model of reinforced-concrete exterior joint under cyclic loading

(2017) Tung M. Tran et al.   PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-STRUCTURES AND BUILDINGS

Prediction of self-compacting concrete strength using artificial neural networks

(2016) P.G. Asteris et al.   European Journal of Environmental and Civil Engineering

Deep learning

(2015) Yann LeCun et al.   NATURE

Shear strength model for RC beam–column joints under seismic loading

(2012) Guo-Lin Wang et al.   ENGINEERING STRUCTURES

Energy demand estimation of South Korea using artificial neural network

(2009) Zong Woo Geem et al.   ENERGY POLICY

A novel weight initialization method for the random neural network

(2009) Stelios Timotheou   NEUROCOMPUTING