Evaluating the bond strength of FRP-to-concrete composite joints using metaheuristic-optimized least-squares support vector regression

A metaheuristic-optimized multi-output model for predicting multiple properties of pervious concrete

(2020) Junfei Zhang et al.   CONSTRUCTION AND BUILDING MATERIALS

Toward intelligent construction: Prediction of mechanical properties of manufactured-sand concrete using tree-based models

(2020) Junfei Zhang et al.   JOURNAL OF CLEANER PRODUCTION

Predicting uniaxial compressive strength of oil palm shell concrete using a hybrid artificial intelligence model

(2020) Junfei Zhang et al.   Journal of Building Engineering

Optimized neural network using beetle antennae search for predicting the unconfined compressive strength of jet grouting coalcretes

(2019) Yuantian Sun et al.   INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS

Determination of Young's modulus of jet grouted coalcretes using an intelligent model

(2019) Yuantian Sun et al.   ENGINEERING GEOLOGY

Modelling uniaxial compressive strength of lightweight self-compacting concrete using random forest regression

(2019) Junfei Zhang et al.   CONSTRUCTION AND BUILDING MATERIALS

An efficiency framework for anchorage devices used to enhance the performance of FRP strengthened RC members

(2018) Robin Kalfat et al.   CONSTRUCTION AND BUILDING MATERIALS

Modeling of magnetic cooling power of manganite-based materials using computational intelligence approach

(2017) Taoreed O. Owolabi et al.   NEURAL COMPUTING & APPLICATIONS

Modelling the fresh properties of self-compacting concrete using support vector machine approach

(2016) Mohammed Sonebi et al.   CONSTRUCTION AND BUILDING MATERIALS

Assessment of a bond strength model for FRP reinforcement externally bonded over masonry blocks

(2014) Francesca Ceroni et al.   COMPOSITES PART B-ENGINEERING

Binary bat algorithm

(2013) Seyedali Mirjalili et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of Splitting Tensile Strength from Cylinder Compressive Strength of Concrete by Support Vector Machine

(2013) Kezhen Yan et al.   Advances in Materials Science and Engineering

Application of artificial neural networks to predict the bond strength of FRP-to-concrete joints

(2012) Mohammed A. Mashrei et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of elastic modulus of normal and high strength concrete by support vector machine

(2010) Kezhen Yan et al.   CONSTRUCTION AND BUILDING MATERIALS

Experimental study on interfacial behavior of CFRP-bonded concrete

(2010) Sang-Kyun Woo et al.   KSCE Journal of Civil Engineering

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS

Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap

(2009) Ji-Hyun Kim   COMPUTATIONAL STATISTICS & DATA ANALYSIS