Modeling shear strength of medium- to ultra-high-strength concrete beams with stirrups using SVR and genetic algorithm

Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning

(2021) Xin Luo et al.   IEEE-CAA Journal of Automatica Sinica

Mechanical model for the shear strength of steel fiber reinforced concrete (SFRC) beams without stirrups

(2020) Antonio Marì Bernat et al.   MATERIALS AND STRUCTURES

Parametric Investigation of Particle Swarm Optimization to Improve the Performance of the Adaptive Neuro-Fuzzy Inference System in Determining the Buckling Capacity of Circular Opening Steel Beams

(2020) Quang Hung Nguyen et al.   Materials

Reinforced concrete deep beam shear strength capacity modelling using an integrative bio-inspired algorithm with an artificial intelligence model

(2020) Guangnan Zhang et al.   ENGINEERING WITH COMPUTERS

Shear performance of reinforced ultra-high performance concrete rectangular section beams

(2020) Qiang Wang et al.   Structures

Machine learning framework for predicting failure mode and shear capacity of ultra high performance concrete beams

(2020) Roya Solhmirzaei et al.   ENGINEERING STRUCTURES

Modelling and multi objective optimization of bamboo reinforced concrete beams using ANN and genetic algorithms

(2019) Ikechukwu Etienne Umeonyiagu et al.   European Journal of Wood and Wood Products

Model uncertainties and bias in SHEAR strength predictions of slender stirrup reinforced concrete beams

(2019) Oladimeji B. Olalusi et al.   Structural Concrete

Shear behavior of two-span fiber reinforced concrete beams

(2019) Julita Krassowska et al.   Archives of Civil and Mechanical Engineering

Steel Fiber Use as Shear Reinforcement on I-Shaped UHP-FRC Beams

(2019) Umut Hasgul et al.   Applied Sciences-Basel

Reduced order modeling for nonlinear structural analysis using Gaussian process regression

(2018) Mengwu Guo et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Evolutionary algorithms for solving the airline crew pairing problem

(2018) Muhammet Deveci et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Minimum shear reinforcement for ultra-high performance fiber reinforced concrete deep beams

(2018) Ahmed M. Yousef et al.   CONSTRUCTION AND BUILDING MATERIALS

Shear behavior of fiber-reinforced ultra-high performance concrete beams

(2018) Tamás Mészöly et al.   ENGINEERING STRUCTURES

An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications

(2018) Xin Luo et al.   IEEE Transactions on Industrial Informatics

Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction

(2018) Shangce Gao et al.   IEEE Transactions on Neural Networks and Learning Systems

Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data

(2018) Xin Luo et al.   IEEE Transactions on Cybernetics

Experimental study on shear behavior of prestressed reactive powder concrete I-girders

(2018) Hui Zheng et al.   Frontiers of Structural and Civil Engineering

Hybrid Fibres as Shear Reinforcement in High-Performance Concrete Beams with and without Openings

(2018) Piotr Smarzewski   Applied Sciences-Basel

Novel search space updating heuristics-based genetic algorithm for optimizing medium-scale airline crew pairing problems

(2017) Nihan Çetin Demirel et al.   International Journal of Computational Intelligence Systems

A survey of deep neural network architectures and their applications

(2017) Weibo Liu et al.   NEUROCOMPUTING

New strategy for anchorage reliability assessment of GFRP bars to concrete using hybrid artificial neural network with genetic algorithm

(2016) Fei Yan et al.   COMPOSITES PART B-ENGINEERING

Predicting behavior of FRP-confined concrete using neuro fuzzy, neural network, multivariate adaptive regression splines and M5 model tree techniques

(2016) Iman Mansouri et al.   MATERIALS AND STRUCTURES

Modeling shear strength of medium- to ultra-high-strength steel fiber-reinforced concrete beams using artificial neural network

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

Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models

(2016) Xin Luo et al.   IEEE Transactions on Neural Networks and Learning Systems

Shear Tests for Ultra-High Performance Fiber Reinforced Concrete (UHPFRC) Beams with Shear Reinforcement

(2016) Woo-Young Lim et al.   International Journal of Concrete Structures and Materials

A Review on Structural Behavior, Design, and Application of Ultra-High-Performance Fiber-Reinforced Concrete

(2016) Doo-Yeol Yoo et al.   International Journal of Concrete Structures and Materials

Estimating Compressive Strength of High Performance Concrete with Gaussian Process Regression Model

(2016) Nhat-Duc Hoang et al.   Advances in Civil Engineering

Dynamic analysis of soil-structure interaction using the neural networks and the support vector machines

(2015) Hojjat Abbasi Farfani et al.   EXPERT SYSTEMS WITH APPLICATIONS

SUPPORT VECTOR MACHINES IN STRUCTURAL ENGINEERING: A REVIEW

(2015) Abdulkadir Çevik et al.   Journal of Civil Engineering and Management

Influence of beam cross-section, loading arrangement and aggregate type on shear strength

(2015) J. Sagaseta et al.   MAGAZINE OF CONCRETE RESEARCH

Using an Artificial Neural Network to Predict Mix Compositions of Steel Fiber-Reinforced Concrete

(2014) Merve Açikgenç et al.   ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING

Artificial neural network and genetic programming for predicting the bond strength of GFRP bars in concrete

(2014) E. M. Golafshani et al.   MATERIALS AND STRUCTURES

Shear Behavior of Ultrahigh Performance Fiber-Reinforced Concrete Beams. I: Experimental Investigation

(2013) Florent Baby et al.   JOURNAL OF STRUCTURAL ENGINEERING

Experimental test methods to determine the uniaxial tensile and compressive behaviour of ultra high performance fibre reinforced concrete (UHPFRC)

(2012) A.M.T. Hassan et al.   CONSTRUCTION AND BUILDING MATERIALS

Understanding what determines consumers' expanded use of mobile videophones

(2011) Wen-Kuo Chen et al.   BEHAVIOUR & INFORMATION TECHNOLOGY

Support vector regression based shear strength modelling of deep beams

(2011) Mahesh Pal et al.   COMPUTERS & STRUCTURES