Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures

Krill herd algorithm-based neural network in structural seismic reliability evaluation

(2018) Panagiotis G. Asteris et al.   MECHANICS OF ADVANCED MATERIALS AND STRUCTURES

Self-compacting concrete strength prediction using surrogate models

(2017) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Fundamental period of infilled RC frame structures with vertical irregularity

(2017) Panagiotis G. Asteris et al.   STRUCTURAL ENGINEERING AND MECHANICS

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

Anisotropic masonry failure criterion using artificial neural networks

(2016) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Fundamental period of infilled reinforced concrete frame structures

(2016) Panagiotis G. Asteris et al.   Structure and Infrastructure Engineering

Prediction of debonding strength for masonry elements retrofitted with FRP composites using neuro fuzzy and neural network approaches

(2015) Iman Mansouri et al.   COMPOSITES PART B-ENGINEERING

Principal Component Analysis combined with a Self Organization Feature Map to determine the pull-off adhesion between concrete layers

(2015) Łukasz Sadowski et al.   CONSTRUCTION AND BUILDING MATERIALS

Modeling concrete strength with high-order neural networks

(2015) Hsing-Chih Tsai   NEURAL COMPUTING & APPLICATIONS

Parameters affecting the fundamental period of infilled RC frame structures

(2015) Panagiotis G. Asteris et al.   Earthquakes and Structures

Prediction of Concrete Compressive Strength by Evolutionary Artificial Neural Networks

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

Modeling of masonry failure surface under biaxial compressive stress using Neural Networks

(2014) Vagelis Plevris et al.   CONSTRUCTION AND BUILDING MATERIALS

Artificial neural network for predicting creep of concrete

(2014) Lyes Bal et al.   NEURAL COMPUTING & APPLICATIONS

Corrosion current density prediction in reinforced concrete by imperialist competitive algorithm

(2014) Lukasz Sadowski et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of concrete compressive strength: Research on hybrid models genetic based algorithms and ANFIS

(2013) Zhe Yuan et al.   ADVANCES IN ENGINEERING SOFTWARE

Determination of compressive strength of concrete using Self Organization Feature Map (SOFM)

(2013) Mehdi Nikoo et al.   ENGINEERING WITH COMPUTERS

Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification

(2013) S.J.S. Hakim et al.   STRUCTURAL ENGINEERING AND MECHANICS

Estimation of the Fundamental Vibration Period of Existing RC Buildings in Turkey Utilizing Ambient Vibration Records

(2011) Kadir Guler et al.   JOURNAL OF EARTHQUAKE ENGINEERING

Automated image processing technique for detecting and analysing concrete surface cracks

(2011) Bang Yeon Lee et al.   Structure and Infrastructure Engineering

Energy-based numerical models for assessment of soil liquefaction

(2011) Amir Hossein Alavi et al.   Geoscience Frontiers

Techniques for Predicting Cracking Pattern of Masonry Wallet Using Artificial Neural Networks and Cellular Automata

(2010) Yu Zhang et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

A comparative study of Artificial Bee Colony algorithm

(2009) Dervis Karaboga et al.   APPLIED MATHEMATICS AND COMPUTATION

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