Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam

Modeling and optimization of biodiesel engine performance using kernel-based extreme learning machine and cuckoo search

(2015) Pak Kin Wong et al.   RENEWABLE ENERGY

Online sequential extreme learning machine with kernels for nonstationary time series prediction

(2014) Xinying Wang et al.   NEUROCOMPUTING

Fast prediction of protein–protein interaction sites based on Extreme Learning Machines

(2013) Debby D. Wang et al.   NEUROCOMPUTING

Extreme learning machine towards dynamic model hypothesis in fish ethology research

(2013) Rui Nian et al.   NEUROCOMPUTING

Bankruptcy prediction using Extreme Learning Machine and financial expertise

(2013) Qi Yu et al.   NEUROCOMPUTING

Comparison of behaviour between channel and angle shear connectors under monotonic and fully reversed cyclic loading

(2012) Mahdi Shariati et al.   CONSTRUCTION AND BUILDING MATERIALS

A novel approach to develop the control of Telbot using ANFIS for nuclear hotcells

(2011) Pezhman Lali et al.   ANNALS OF NUCLEAR ENERGY

Comparison of ANFIS and NN models—With a study in critical buckling load estimation

(2011) Mahmut Bilgehan   APPLIED SOFT COMPUTING

Experimental assessment of channel shear connectors under monotonic and fully reversed cyclic loading in high strength concrete

(2011) Mahdi Shariati et al.   MATERIALS & DESIGN

Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils

(2010) Işık Yilmaz et al.   EXPERT SYSTEMS WITH APPLICATIONS

Experimental and analytical study on channel shear connectors in fiber-reinforced concrete

(2009) Shervin Maleki et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Behavior of channel shear connectors, Part I: Experimental study

(2008) Shervin Maleki et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH